Home
Search results “Meaning of analysis in computer”
Meaning of MONA LISA's emotions – computer analysis results
 
01:16
Leonardo Da Vinci is the author of several prominent artworks, which is known by millions of art lovers all over the world. But the most popular of them is, probably, the Mona Lisa (also known as La Gioconda). Da Vinci used all this skills, creative thinking and a technique called sfumato to create unusual face expression of Mona Lisa, which got many people thinking, what the author was trying to safe with such an expression. As human thoughts are subjective, computer experts, who were finishing their face recognition software, decided to let the computer analyze the face of La Gioconda. And the results are quite surprising: the machine considers Mona Lisa to be happy (83%), disgusted (8%), fearful (6%) and angry (2%). So such odd combination was noticed on the face. Such scientific experiments seem to be pretty fun and we are sure that other experts will analyze the works of Leonardo da Vinci. If you are fascinated by this artist, please check out this video presentation: https://www.youtube.com/watch?v=_XrBNska7Wg We have put together a short list of fun Leonardo facts and here are just some of them: - the art of mirror writing and the proof that Da Vinci successfully mastered this skill; - the most popular inventions and their real possibilities; - Codex Leicester as the most expensive book in the history; - theories about the meaning of Mona Lisa; - and many more to come. Stay tuned for new videos about prominent people. Thanks for watching!
Introduction to Big O Notation and Time Complexity (Data Structures & Algorithms #7)
 
36:22
Big O notation and time complexity, explained. Check out Brilliant.org (https://brilliant.org/CSDojo/), a website for learning math and computer science concepts through solving problems. First 200 subscribers will get 20% off through the link above. Special thanks to Brilliant for sponsoring this video. This was #7 of my data structures & algorithms series. You can find the entire series in a playlist here: https://goo.gl/wy3CWF Also, keep in touch on Facebook: https://www.facebook.com/entercsdojo
Views: 284168 CS Dojo
What is Computer Engineering?
 
08:43
Computer engineering is the combination of electrical engineering and computer science. Computer engineering majors will take basic circuit analysis classes where they will learn about voltage and current in resistor, capacitor, and inductor circuits. They will learn the basics of binary and how computers read 1's and 0's. Additionally computer engineers learn about memory, registers, microprocessors, and more of the computer hardware. Computer engineers will then share many of their classes with computer scientists where they will learn computer programming. The curriculum will consist of at least learning C and java. C programming can then be applied to programming hardware like robotic vehicles. After learning different aspects of programming, computer engineers will have an option to take various elective classes that focus on specific aspects of either computer engineering, computer science, or electrical engineering. Computer engineering is a very flexible major because of having experience on both the hardware and software side so you can cater your career path based on your interests. *************************************** For information on math, science, and engineering majors, check us out at https://majorprep.com *************************************** ►Patreon: https://patreon.com/majorprep ►PayPal: https://www.paypal.me/majorprep ►Facebook: https://facebook.com/majorprep
Views: 408255 MajorPrep
Natural Language Processing: Crash Course Computer Science #36
 
11:50
Today we’re going to talk about how computers understand speech and speak themselves. As computers play an increasing role in our daily lives there has been an growing demand for voice user interfaces, but speech is also terribly complicated. Vocabularies are diverse, sentence structures can often dictate the meaning of certain words, and computers also have to deal with accents, mispronunciations, and many common linguistic faux pas. The field of Natural Language Processing, or NLP, attempts to solve these problems, with a number of techniques we’ll discuss today. And even though our virtual assistants like Siri, Alexa, Google Home, Bixby, and Cortana have come a long way from the first speech processing and synthesis models, there is still much room for improvement. Produced in collaboration with PBS Digital Studios: http://youtube.com/pbsdigitalstudios Want to know more about Carrie Anne? https://about.me/carrieannephilbin The Latest from PBS Digital Studios: https://www.youtube.com/playlist?list=PL1mtdjDVOoOqJzeaJAV15Tq0tZ1vKj7ZV Want to find Crash Course elsewhere on the internet? Facebook - https://www.facebook.com/YouTubeCrash... Twitter - http://www.twitter.com/TheCrashCourse Tumblr - http://thecrashcourse.tumblr.com Support Crash Course on Patreon: http://patreon.com/crashcourse CC Kids: http://www.youtube.com/crashcoursekids
Views: 184842 CrashCourse
Game Theory: The Science of Decision-Making
 
09:50
With up to ten years in prison at stake, will Wanda rat Fred out? Game theory is looking at human interactions through the lens of mathematics. Hosted by: Hank Green ---------- Support SciShow by becoming a patron on Patreon: https://www.patreon.com/scishow ---------- Dooblydoo thanks go to the following Patreon supporters -- we couldn't make SciShow without them! Shout out to Kevin Bealer, Justin Lentz, Mark Terrio-Cameron, Patrick Merrithew, Accalia Elementia, Fatima Iqbal, Benny, Kyle Anderson, Mike Frayn, Tim Curwick, Will and Sonja Marple, Philippe von Bergen, Chris Peters, Kathy Philip, Patrick D. Ashmore, Thomas J., charles george, and Bader AlGhamdi. ---------- Like SciShow? Want to help support us, and also get things to put on your walls, cover your torso and hold your liquids? Check out our awesome products over at DFTBA Records: http://dftba.com/scishow ---------- Looking for SciShow elsewhere on the internet? Facebook: http://www.facebook.com/scishow Twitter: http://www.twitter.com/scishow Tumblr: http://scishow.tumblr.com Instagram: http://instagram.com/thescishow ---------- Sources: https://www.khanacademy.org/economics-finance-domain/microeconomics/nash-equilibrium-tutorial http://levine.sscnet.ucla.edu/general/whatis.htm http://assets.cambridge.org/97805213/61774/sample/9780521361774ws.pdf https://www.youtube.com/watch?v=qcLZMYPdpH4 http://link.springer.com/chapter/10.1007/978-1-349-20181-5_1 http://www.gametheory.net/dictionary/Game.html Image Links: https://en.wikipedia.org/wiki/John_Forbes_Nash_Jr.
Views: 2022056 SciShow
How to Read a Research Paper
 
08:44
Ever wondered how I consume research so fast? I'm going to describe the process i use to read lots of machine learning research papers fast and efficiently. It's basically a 3-pass approach, i'll go over the details and show you the extra resources I use to learn these advanced topics. You don't have to be a PhD, anyone can read research papers. It just takes practice and patience. Please Subscribe! And like. And comment. That's what keeps me going. Want more education? Connect with me here: Twitter: https://twitter.com/sirajraval Facebook: https://www.facebook.com/sirajology instagram: https://www.instagram.com/sirajraval More learning resources: http://www.arxiv-sanity.com/ https://www.reddit.com/r/MachineLearning/ https://www.elsevier.com/connect/infographic-how-to-read-a-scientific-paper https://www.quora.com/How-do-I-start-reading-research-papers-on-Machine-Learning https://www.reddit.com/r/MachineLearning/comments/6rj9r4/d_how_do_you_read_mathheavy_machine_learning/ https://machinelearningmastery.com/how-to-research-a-machine-learning-algorithm/ http://www.sciencemag.org/careers/2016/03/how-seriously-read-scientific-paper Join us in the Wizards Slack channel: http://wizards.herokuapp.com/ And please support me on Patreon: https://www.patreon.com/user?u=3191693 Signup for my newsletter for exciting updates in the field of AI: https://goo.gl/FZzJ5w Hit the Join button above to sign up to become a member of my channel for access to exclusive content!
Views: 206286 Siraj Raval
1 - What is an Information System
 
02:59
Video one in a series of support videos for National 4/5 Computing Science course in Scotland. This video introduces the concept of an Information System for the Information Systems Design and Development Unit.
Views: 377549 Charlie Love
What is MOTION ANALYSIS? What does MOTION ANALYSIS mean? MOTION ANALYSIS meaning & explanation
 
02:04
What is MOTION ANALYSIS? What does MOTION ANALYSIS mean? MOTION ANALYSIS meaning - MOTION ANALYSIS definition - MOTION ANALYSIS explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ Motion analysis is used in computer vision, image processing, high-speed photography and machine vision that studies methods and applications in which two or more consecutive images from an image sequences, e.g., produced by a video camera or high-speed camera, are processed to produce information based on the apparent motion in the images. In some applications, the camera is fixed relative to the scene and objects are moving around in the scene, in some applications the scene is more or less fixed and the camera is moving, and in some cases both the camera and the scene are moving. The motion analysis processing can in the simplest case be to detect motion, i.e., find the points in the image where something is moving. More complex types of processing can be to track a specific object in the image over time, to group points that belong to the same rigid object that is moving in the scene, or to determine the magnitude and direction of the motion of every point in the image. The information that is produced is often related to a specific image in the sequence, corresponding to a specific time-point, but then depends also on the neighboring images. This means that motion analysis can produce time time-dependent information about motion. Applications of motion analysis can be found in rather diverse areas, such as surveillance, medicine, film industry, automotive crash safety, ballistic firearm studies, biological science, flame propagation, and navigation of autonomous vehicles to name a few examples.
Views: 299 The Audiopedia
What is TASK ANALYSIS? What does TASK ANALYSIS mean? TASK ANALYSIS meaning & explanation
 
03:26
What is TASK ANALYSIS? What does TASK ANALYSIS mean? TASK ANALYSIS meaning - TASK ANALYSIS definition - TASK ANALYSIS explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. Task analysis is the analysis of how a task is accomplished, including a detailed description of both manual and mental activities, task and element durations, task frequency, task allocation, task complexity, environmental conditions, necessary clothing and equipment, and any other unique factors involved in or required for one or more people to perform a given task. Information from a task analysis can then be used for many purposes, such as personnel selection and training, tool or equipment design, procedure design (e.g., design of checklists or decision support systems) and automation. Though distinct, task analysis is related to user analysis. The term "task" is often used interchangeably with activity or process. Task analysis often results in a hierarchical representation of what steps it takes to perform a task for which there is a goal and for which there is some lowest-level "action" or interaction among humans and/or machines: this is known as hierarchical task analysis. Tasks may be identified and defined at multiple levels of abstraction as required to support the purpose of the analysis. A critical task analysis, for example, is an analysis of human performance requirements which, if not accomplished in accordance with system requirements, will likely have adverse effects on cost, system reliability, efficiency, effectiveness, or safety. Task analysis is often performed by human factors and ergonomics professionals. Task analysis may be of manual tasks, such as bricklaying, and be analyzed as time and motion studies using concepts from industrial engineering. Cognitive task analysis is applied to modern work environments such as supervisory control where little physical work occurs, but the tasks are more related to situation assessment, decision making, and response planning and execution. Task analysis is also used in education. It is a model that is applied to classroom tasks to discover which curriculum components are well matched to the capabilities of students with learning disabilities and which task modification might be necessary. It discovers which tasks a person hasn't mastered, and the information processing demands of tasks that are easy or problematic. In behavior modification, it is a breakdown of a complex behavioral sequence into steps. This often serves as the basis for chaining. The results of task analysis are often represented in task models, which clearly indicate the relations among the various tasks, An example notation used to specify task models is ConcurTaskTrees (by Fabio Paterno), which is also supported by tools that are freely available.
Views: 7139 The Audiopedia
What is NUMERICAL ANALYSIS? What does NUMERICAL ANALYSIS mean? NUMERICAL ANALYSIS meaning
 
03:59
✪✪✪✪✪ WORK FROM HOME! Looking for WORKERS for simple Internet data entry JOBS. $15-20 per hour. SIGN UP here - http://jobs.theaudiopedia.com ✪✪✪✪✪ What is NUMERICAL ANALYSIS? What does NUMERICAL ANALYSIS mean? NUMERICAL ANALYSIS meaning - NUMERICAL ANALYSIS definition - NUMERICAL ANALYSIS explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. Numerical analysis is the study of algorithms that use numerical approximation (as opposed to general symbolic manipulations) for the problems of mathematical analysis (as distinguished from discrete mathematics). One of the earliest mathematical writings is a Babylonian tablet from the Yale Babylonian Collection (YBC 7289), which gives a sexagesimal numerical approximation of 2 {\displaystyle {\sqrt {2}}} {\sqrt {2}}, the length of the diagonal in a unit square. Being able to compute the sides of a triangle (and hence, being able to compute square roots) is extremely important, for instance, in astronomy, carpentry and construction. Numerical analysis continues this long tradition of practical mathematical calculations. Much like the Babylonian approximation of 2 {\displaystyle {\sqrt {2}}} {\sqrt {2}}, modern numerical analysis does not seek exact answers, because exact answers are often impossible to obtain in practice. Instead, much of numerical analysis is concerned with obtaining approximate solutions while maintaining reasonable bounds on errors. Numerical analysis naturally finds applications in all fields of engineering and the physical sciences, but in the 21st century also the life sciences and even the arts have adopted elements of scientific computations. Ordinary differential equations appear in celestial mechanics (planets, stars and galaxies); numerical linear algebra is important for data analysis; stochastic differential equations and Markov chains are essential in simulating living cells for medicine and biology. Before the advent of modern computers numerical methods often depended on hand interpolation in large printed tables. Since the mid 20th century, computers calculate the required functions instead. These same interpolation formulas nevertheless continue to be used as part of the software algorithms for solving differential equations. The overall goal of the field of numerical analysis is the design and analysis of techniques to give approximate but accurate solutions to hard problems, the variety of which is suggested by the following: 1. Advanced numerical methods are essential in making numerical weather prediction feasible. 2. Computing the trajectory of a spacecraft requires the accurate numerical solution of a system of ordinary differential equations. 3. Car companies can improve the crash safety of their vehicles by using computer simulations of car crashes. Such simulations essentially consist of solving partial differential equations numerically. 4. Hedge funds (private investment funds) use tools from all fields of numerical analysis to attempt to calculate the value of stocks and derivatives more precisely than other market participants. 5. Airlines use sophisticated optimization algorithms to decide ticket prices, airplane and crew assignments and fuel needs. Historically, such algorithms were developed within the overlapping field of operations research. 6. Insurance companies use numerical programs for actuarial analysis. The rest of this section outlines several important themes of numerical analysis.
Views: 18552 The Audiopedia
Us ENDING EXPLAINED + Hidden Twist You Missed
 
13:43
Jordan Peele's Us Ending Explained. Us Explained SPOILER Review. Breakdown of the Meaning of Us. Directed By Jordan Peele Us Ending Us Spoiler. Us Twist & Hidden Meaning. Us Movie Review & Us Analysis. Tethered Explained & Tethered Origin. 2019 Horror Movie Us 2019 Ending Explained #UsMovie #EndingExplained #UsExplained US SPOILER FREE MOVIE REVIEW: https://youtu.be/rR6SQUhD9Oc Top 5 Theories About Jordan Peele's US : https://youtu.be/he-6q9UVkPk CHANNEL MERCH: https://teespring.com/stores/3cfilms ------------------------SOCIAL MEDIA ------------------------ Twitter: https://twitter.com/3CFilmReview Facebook: https://www.facebook.com/groups/2204561206458090/ ------------------------EQUIPMENT I USE IN MY VIDEOS---------------------- Camera: https://amzn.to/2BLWqT2 Microphone: https://amzn.to/2StTzW0 Microphone #2: https://amzn.to/2ViQ5HK Lights: https://amzn.to/2rZ9qjG Computer: https://amzn.to/2BXsgMX Business Inquiries: [email protected] Thank You For Any Support! DISCLAIMER: This video and description may contain affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This helps support the channel and allows us to continue to make videos like this.
Views: 632376 3C Films
How we teach computers to understand pictures | Fei Fei Li
 
18:03
When a very young child looks at a picture, she can identify simple elements: "cat," "book," "chair." Now, computers are getting smart enough to do that too. What's next? In a thrilling talk, computer vision expert Fei-Fei Li describes the state of the art — including the database of 15 million photos her team built to "teach" a computer to understand pictures — and the key insights yet to come. TEDTalks is a daily video podcast of the best talks and performances from the TED Conference, where the world's leading thinkers and doers give the talk of their lives in 18 minutes (or less). Look for talks on Technology, Entertainment and Design -- plus science, business, global issues, the arts and much more. Find closed captions and translated subtitles in many languages at http://www.ted.com/translate Follow TED news on Twitter: http://www.twitter.com/tednews Like TED on Facebook: https://www.facebook.com/TED Subscribe to our channel: http://www.youtube.com/user/TEDtalksDirector
Views: 730996 TED
What is DOMAIN ANALYSIS? What does DOMAIN ANALYSIS mean? DOMAIN ANALYSIS meaning & explanation
 
01:51
What is DOMAIN ANALYSIS? What does DOMAIN ANALYSIS mean? DOMAIN ANALYSIS meaning - DOMAIN ANALYSIS definition - DOMAIN ANALYSIS explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ In software engineering, domain analysis, or product line analysis, is the process of analyzing related software systems in a domain to find their common and variable parts. It is a model of wider business context for the system. The term was coined in the early 1980s by James Neighbors. Domain analysis is the first phase of domain engineering. It is a key method for realizing systematic software reuse. Domain analysis produces domain models using methodologies such as domain specific languages, feature tables, facet tables, facet templates, and generic architectures, which describe all of the systems in a domain. Several methodologies for domain analysis have been proposed. The products, or "artifacts", of a domain analysis are sometimes object-oriented models (e.g. represented with the Unified Modeling Language (UML)) or data models represented with entity-relationship diagrams (ERD). Software developers can use these models as a basis for the implementation of software architectures and applications. This approach to domain analysis is sometimes called model-driven engineering. In information science, the term "domain analysis" was suggested in 1995 by Birger Hjorland and H. Albrechtsen.
Views: 2645 The Audiopedia
What is Meta Analysis - Definition Meaning Explained | Teacher Education Terms || SimplyInfo.net
 
02:01
Watch the video to learn about what is Meta Analysis and Meta Analysis definition, meaning and importance explained in a simple and easy way useful for teacher education, B ed. education and teaching skill development. Also useful for kids, students and children interested in exploring education terms and concepts. LINK TO WEB ARTICLE: ............................ CONNECT US: Website: https://www.simplyinfo.net Facebook: https://www.facebook.com/SimplyInfonet-1371433352930926/ Twitter: https://twitter.com/SimplyInfo9 YouTube: https://www.youtube.com/channel/UCEPNeKhUwgMV_GyWQIn7E0A Slideshare: https://www.slideshare.net/SimplyInfoPortal Pinterest: https://in.pinterest.com/SimplyInfo9/ Instagram: https://www.instagram.com/simplyinfo9/ GooglePlus: https://plus.google.com/u/0/b/109475519033679079640/109475519033679079640 ............................ SUPPORT US: SUBSCRIBE | LIKE | SHARE | COMMENT... ............................ Cheers, Happy Learning! SimplyInfo.net Team ............................ About Simplyinfo.net: We provide the best info bytes videos in a very simple and effective way to learn, to revise and to master mini-size information. We simplify information in the following categories: - Business and Management - Arts and Entertainment - Design and Media Arts - Photography & DSLR Cameras - Animation and VFX - Filmmaking and SFX - Digital Marketing & Social Media - Education & Learning - Psychology & Mind - E-Learning & Edu Tech - Computer Science & Development - Programming and Coding - Web Development Technologies - Physical Sciences - Mathematics & Logic - Health & Fitness - Computers & Technology - IT & Software - Engineering & Technology - Philosophy & Thinking - Geography & Places - People & Awards - Countries & Cultures - Self-Help & Personal Transformation - Pets & Pet Care - Life Style - Sports & Games - Cooking - Food, Wine & Dine - Electronics - Gadgets & Devices - Books & Writers
Views: 4609 SimplyInfo
This Computer Simulation Explains How the Twin Towers Fell
 
04:01
To understand what happened to the Twin Towers on 9/11, a scientist set up an elaborate computer simulation of the event. It ended up not just predicting the manner of the collapse, but also its speed. From: THE MISSING EVIDENCE: 9/11 Secret Explosions in the Towers http://bit.ly/1hhMyEr
Views: 2325008 Smithsonian Channel
Utility Analysis - Meaning and Types | in Hindi
 
10:40
In this video you will learn Meaning and Types of Utility. This video will also help to understand difference between Total Utility and Marginal Utility. We have tried to make it clear in very simple words with examples. For more videos subscribe and stay connected with us.. For business inquiries: [email protected]
Views: 56313 JV Knowledge Point
Is Reality Real? The Simulation Argument
 
08:46
Watch Part 2 on Vsauce 3: https://www.youtube.com/watch?v=3d9i_0Ty7Cg Kurzgesagt Newsletter: http://eepurl.com/cRUQxz Support us on Patreon so we can make more videos (and get cool stuff in return): https://www.patreon.com/Kurzgesagt?ty=h Kurzgesagt merch: http://bit.ly/1P1hQIH The MUSIC of the video: Soundcloud: http://bit.ly/2w8eYsN Bandcamp: http://bit.ly/2xpnhU2 Facebook: http://bit.ly/2qW6bY4 THANKS A LOT TO OUR LOVELY PATRONS FOR SUPPORTING US: vladimir šebez, Nicholas Evers, David Hirsch, Misko Giboreau, Friedrich Reider, Christian Massold, Björn Keßel, Ron Leonard, Johann Goergen, Tonina Zhelyazkova, Tony Nitowski, Geoffrey Major, William Bonwitt, Arslan Ablikim, James Tran, JP Hastings-Spital, Michael Shi, Anni Gill, Cymon Carlisle, bob smith, Jonathan Brunette, George Murray, John, Bryan Lawlor, Bjarne Kohnke, Christopher Isar, Renee Undrits, Joshua Hardin, Diego, Maggs, Akram Jamal-Allail, shoftee, Dattu Patel, Josh Heri, Christopher Dein DeltaNutmeg, Julian Hartline, Jesper Sølvsten, Adam Thompson, Amadon Faul, Ben Spicer, Dan-Dumitru Donici, Kaushik Narasimhan, Dennis Kok, Carlo Fajardo, Zaneksy, Rami Najjar, Rik Muschamp, César Rdez, David Marsden, Klasoweit, Gabrielle Gendron-Lepage, Nicholas, Nathan Dietrich, Manolo Calderon, Gil Nemesh, Caleb, Karthik Sekar, Jean-Francois Blain, Travis Harger, Jose Zamora, Danilo Metzger, Olle Karlberg, TJ, Patrick Hart, SCPNostalgia, Devin, David Oxley, Andy Hill, Maxime Cony, Vjenceslav, Neil Mukhopadhyay, Cory Bosse, Kara M., Dogydogsun, Andy Zeng, Angela Flierman, Tyler Alden, Klaus Prünster, Alex Boyd, Diana Martínez, Danny Fast, Bryce Watson, Chan Maneesilasan, Johanna Lind, Orphansmith, 彥霖 陳, Emanuel Hafner, James Dominguez, Kevin Hackbarth, Pablo Pagano, Liam Quin, Dan Rossiter, James Phan, Leon Klang, Romain Isnel, Anthony Eales, Freebite, Logan Rankin, Udi Eylat Help us caption & translate this video! http://www.youtube.com/timedtext_cs_panel?c=UCsXVk37bltHxD1rDPwtNM8Q&tab=2
Wireshark Tutorial for Beginners
 
14:22
A Wireshark tutorial for beginners that shows users how to track network activity, view specific frame, tcp, ip and http information, view specific packets being sent and received on the network, view information within those packets and spot malicious or suspicious network behavior. For behind the scenes and exclusive content: https://www.instagram.com/ansonalex.c0m/ Published by Anson Alexander from http://AnsonAlex.com.
Views: 763786 Anson Alexander
What is a HashTable Data Structure - Introduction to Hash Tables , Part 0
 
07:37
This tutorial is an introduction to hash tables. A hash table is a data structure that is used to implement an associative array. This video explains some of the basic concepts regarding hash tables, and also discusses one method (chaining) that can be used to avoid collisions. Wan't to learn C++? I highly recommend this book http://amzn.to/1PftaSt Donate http://bit.ly/17vCDFx STILL NEED MORE HELP? Connect one-on-one with a Programming Tutor. Click the link below: https://trk.justanswer.com/aff_c?offer_id=2&aff_id=8012&url_id=238 :)
Views: 787775 Paul Programming
Explaining Big Data
 
08:33
Big Data is the next big thing in computing. This video explains Big Data characteristics, technologies and opportunities. For more information, see http://www.explainingcomputers.com/big_data.html
Views: 716927 ExplainingComputers
Floating Point Numbers - Computerphile
 
09:16
Why can't floating point do money? It's a brilliant solution for speed of calculations in the computer, but how and why does moving the decimal point (well, in this case binary or radix point) help and how does it get currency so wrong? 3D Graphics Playlist: http://www.youtube.com/playlist?list=PLzH6n4zXuckrPkEUK5iMQrQyvj9Z6WCrm The Trouble with Timezones: http://youtu.be/-5wpm-gesOY More from Tom Scott: http://www.youtube.com/user/enyay and https://twitter.com/tomscott http://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computerphile is a sister project to Brady Haran's Numberphile. See the full list of Brady's video projects at: http://bit.ly/bradychannels
Views: 1009692 Computerphile
Black Mirror Analysis: Shut Up and Dance
 
15:09
SUBSCRIBE: https://www.youtube.com/user/HarrysMovingCastle?sub_confirmation=1 Donations: ► Patreon: https://www.patreon.com/harrysmovingcastle?ty=h ► Paypal: https://www.paypal.com/cgi-bin/webscr?cmd=_s-xclick&hosted_button_id=JESHZ3J3DSWRN Social media: Discord Server: https://discord.gg/rXbQk26 ► Twitter: https://twitter.com/HMC_Tweets ► Discord Server: https://discord.gg/zSwkr ► Facebook: https://www.facebook.com/HarrysMovingCastle ► Instagram: https://instagram.com/hmc_instant/ Patrons who supported this video: ⚔ Ian Moore ☕ Robert Baker ☕ Simon Ruddock ☕ Tom
Views: 1433325 Harry's Moving Castle
What REALLY is Data Science? Told by a Data Scientist
 
11:09
Preparing for Technical Interviews? This is what I used to get job offers at Facebook/Google/Microsoft/Amazon: http://algoexpert.io/joma Use code "joma" for a 30% discount. Ends Soon! ►Free Resume/Cover Letter Template For Members! Join Here: https://www.youtube.com/channel/UCV0qA-eDDICsRR9rPcnG7tw/join ►JomaSwag Merch https://jomaswag.com/ ►Music I use: http://share.epidemicsound.com/lSSdb - (For YouTubers) Robert Chang's Medium Post: https://medium.com/@rchang/a-beginners-guide-to-data-engineering-part-i-4227c5c457d7 ►Chat with me https://discord.gg/H52kZHe ►TWITTER/INSTAGRAM/FACEBOOK @jomaoppa FILM STUFF AMAZIN LINKS Laptop - https://amzn.to/2GN6IqD MAIN Camera - http://amzn.to/2Fs1JeX Main Lens - http://amzn.to/2IkeYwm Wide lens - http://amzn.to/2DgzIRD Mic I use - http://amzn.to/2p8gZmj Vlogging Camera - http://amzn.to/2FFuPah Gorilla Pod - http://amzn.to/2oZZeX8 Drone - http://amzn.to/2FzatMy GoPro HERO 5 - http://amzn.to/2Ghgmir Snowball Mic - http://amzn.to/2Gh8P3i Send me mail or whatever you want here! PO Box No. 121 REDWOOD CITY, CA 94064
Views: 489530 Joma Tech
Fourier Transform, Fourier Series, and frequency spectrum
 
15:45
Fourier Series and Fourier Transform with easy to understand 3D animations.
Hidden Twist In Jordan Peele's Us EXPLAINED
 
10:13
Jordan Peele's Us Ending Explained. Jordan Peele's Us Explained SPOILER Review. Hidden Twist In Us EXPLAINED .Breakdown of the Meaning of Us. Secret Twist To Jordan Peele Us. Jason Switched Directed By Jordan Peele Us Ending Us Spoiler. Us Twist & Hidden Meaning. Us Movie Review & Us Analysis. Tethered Explained & Tethered Origin. 2019 Horror Movie Us 2019 Ending Explained #UsMovie #EndingExplained #UsExplained US ENDING EXPLAINED : https://youtu.be/Gxs9xN6UFwk US SPOILER FREE MOVIE REVIEW: https://youtu.be/rR6SQUhD9Oc Top 5 Theories About Jordan Peele's US : https://youtu.be/he-6q9UVkPk CHANNEL MERCH: https://teespring.com/stores/3cfilms ------------------------SOCIAL MEDIA ------------------------ Twitter: https://twitter.com/3CFilmReview Facebook: https://www.facebook.com/groups/2204561206458090/ ------------------------EQUIPMENT I USE IN MY VIDEOS---------------------- Camera: https://amzn.to/2BLWqT2 Microphone: https://amzn.to/2StTzW0 Microphone #2: https://amzn.to/2ViQ5HK Lights: https://amzn.to/2rZ9qjG Computer: https://amzn.to/2BXsgMX Business Inquiries: [email protected] Thank You For Any Support! DISCLAIMER: This video and description may contain affiliate links, which means that if you click on one of the product links, I’ll receive a small commission. This helps support the channel and allows us to continue to make videos like this.
Views: 135601 3C Films
What is Random?
 
11:12
There's more over on Veritasium! "What is NOT Random?": https://www.youtube.com/watch?v=sMb00lz-IfE SOURCES AND MORE BELOW! My twitter: https://twitter.com/tweetsauce My instagram: http://instagram.com/electricpants Generate random numbers using atmospheric noise: http://www.random.org/ randomness: http://www.random.org/randomness/ http://www.random.org/analysis/ http://faculty.rhodes.edu/wetzel/random/mainbody.html http://faculty.rhodes.edu/wetzel/random/level23intro.html https://www.cs.auckland.ac.nz/~chaitin/sciamer.html flipping a coin until 10 heads happen in a row: https://www.youtube.com/watch?v=rwvIGNXY21Y rolling dice until you get a Yahtzee: https://www.youtube.com/watch?v=fiTwar7mFws find word in YouTube video URLs with this in Google: allinurl:[your word here] site:youtube.com/watch "Random" as slang: http://www.nytimes.com/2010/10/31/magazine/31FOB-onlanguage-t.html?_r=3&ref=on_language http://www.theawl.com/2011/03/our-obsession-with-the-word-random-fear-of-a-millennial-planet The many sides of dice: http://commons.wikimedia.org/wiki/Dice_by_number_of_sides#D100 non-transitive dice: http://mathsgear.co.uk/products/non-transitive-grime-dice Checking the fairness of dice: http://www.awesomedice.com/blog/353/d20-dice-randomness-test-chessex-vs-gamescience/ http://www.1000d4.com/wp-content/uploads/2013/02/dice-unified-final-big.jpg https://www.youtube.com/watch?v=NKhpYJzCcSw http://www.dakkadakka.com/wiki/en/That's_How_I_Roll_-_A_Scientific_Analysis_of_Dice http://www.insidescience.org/blog/2012/09/12/dice-rolls-are-not-completely-random A fancy super-fair die: http://kotaku.com/the-most-technologically-advanced-six-sided-die-ever-1183763055 coin-flipping odds: http://econ.ucsb.edu/~doug/240a/Coin%20Flip.htm [PDF] http://statweb.stanford.edu/~susan/papers/headswithJ.pdf http://www.dartmouth.edu/~chance/chance_news/recent_news/chance_news_11.02.html#item2 a nickel landing on it's side: http://labs.adsabs.harvard.edu/adsabs/abs/1993PhRvE..48.2547M/ [PDF]: http://arxiv.org/pdf/1008.4559.pdf a book that will keep you guessing: http://www.amazon.com/Million-Random-Digits-Normal-Deviates/dp/0833030477/ref=cm_cr_pr_product_top 17 'feels' random: http://scienceblogs.com/cognitivedaily/2007/02/05/is-17-the-most-random-number/ How to be random (er.. wandom): http://www.wikihow.com/Be-Random Bell's inequality: http://drchinese.com/David/Bell_Theorem_Easy_Math.htm http://www.felderbooks.com/papers/bell.html http://www.quantiki.org/wiki/Bell's_theorem Bell's inequality videos: https://www.youtube.com/watch?v=z-s3q9wlLag https://www.youtube.com/watch?v=7zfnvGXpy-g https://www.youtube.com/watch?v=qd-tKr0LJTM You can't even handle how wandom and quirky I am: https://www.youtube.com/watch?v=STSNHeAtETM 160 Greatest Arnold Schwarzenegger Quotes https://www.youtube.com/watch?v=pDxn0Xfqkgw
Views: 7102810 Vsauce
How To... Perform Simple Linear Regression by Hand
 
10:55
Learn how to make predictions using Simple Linear Regression. To do this you need to use the Linear Regression Function (y = a + bx) where "y" is the dependent variable, "a" is the y intercept, "b" is the slope of the regression line, and "x" is the independent variable. This video also shows you how to determine the slope (b) of the regression line, and the y intercept (a). In order to determine the slope of a line you will need to first determine the Pearson Correlation Coefficient - this is described in a separate video (https://www.youtube.com/watch?v=2SCg8Kuh0tE).
Views: 465059 Eugene O'Loughlin
Why CG Sucks (Except It Doesn't)
 
07:40
Are computer generated visual effects really ruining movies? We believe that the reason we think all CG looks bad, is because we only see "bad” CG. Fantastic, beautiful, and wonderfully executed CG is everywhere - you just don't know it. Truly great visual effects serve story and character – and in doing so are, by their very definition, invisible. Written and Narrated by Freddie Wong Edited by Joey Scoma Assistant Editor - Joshan Smith Do you want more about CG and VFX? Check out: Cinefex (http://www.cinefex.com/) FXGuide (http://www.fxguide.com/) The awards and nominations by the Visual Effects Society (http://www.visualeffectssociety.com) Also, you can chat with Freddie and other VFX masters (Like PWNisher and PlayFightVFX) directly by commenting on the official RJFS forum: https://discuss.rocketjump.com/t/vfx-video-essay-why-cg-sucks-except-it-doesnt-official-discussion/2862 To see the full list of VFX Breakdowns and films we featured, go here: https://discuss.rocketjump.com/t/vfx-video-essay-why-cg-sucks-except-it-doesnt-official-discussion/2862 Special thanks to RØDE for the rad mics we record on. http://www.rode.com Thanks for watching! More videos at http://school.rocketjump.com! Check out our store! shop.rocketjump.com You can also follow us on Facebook & Twitter: http://www.facebook.com/RJFilmSchool https://twitter.com/rjfilmschool
Views: 10058027 RocketJump Film School
Hashing Algorithms and Security - Computerphile
 
08:12
Audible free book: http://www.audible.com/computerphile Hashing Algorithms are used to ensure file authenticity, but how secure are they and why do they keep changing? Tom Scott hashes it out. More from Tom Scott: http://www.youtube.com/user/enyay and https://twitter.com/tomscott http://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Pigeon Sound Effects courtesy of http://www.freesfx.co.uk/ Computerphile is a sister project to Brady Haran's Numberphile. See the full list of Brady's video projects at: http://bit.ly/bradychannels
Views: 767103 Computerphile
6. Monte Carlo Simulation
 
50:05
MIT 6.0002 Introduction to Computational Thinking and Data Science, Fall 2016 View the complete course: http://ocw.mit.edu/6-0002F16 Instructor: John Guttag Prof. Guttag discusses the Monte Carlo simulation, Roulette License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
Views: 382054 MIT OpenCourseWare
Secrets Hidden in Images (Steganography) - Computerphile
 
13:14
Secret texts buried in a picture of your dog? Image Analyst Dr. Mike Pound explains the art of steganography in digital images. The Problem with JPEG: https://youtu.be/yBX8GFqt6GA The Bayer Filter: https://youtu.be/LWxu4rkZBLw Super Computer & the Milky Way: https://youtu.be/5KEhhW8TOGk JPEG Discrete Cosine Transform (DCT): https://youtu.be/Q2aEzeMDHMA http://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: http://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com
Views: 647980 Computerphile
'Quality Assurance' Vs "Quality Control' .सिर्फ 10 मिनट में सीखें (हिंदी)
 
09:20
In just 10 minutes understand difference between 'Quality Assurance' Vs "Quality Control . सिर्फ 10 मिनट में सीखें (हिंदी) Explained difference in 9 categories. Watch other videos from ‘Quality HUB India’- https://www.youtube.com/channel/UCdDEcmELwWVr_77GpqldKmg/videos • Subscribe to my channel ‘Quality HUB India’ for getting notification. • Like, comment & Share the video with your colleague and friends Link to buy My books 1. Mistake-Proofing Simplified: An Indian Perspective: https://www.amazon.in/gp/product/8174890165/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=8174890165&linkCode=as2&tag=qhi-21 2. Management Thoughts on Quality for Every Manager: https://www.amazon.in/gp/product/B0075MCLTO/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B0075MCLTO&linkCode=as2&tag=qhi-21 Gadgets I use and Link to buy 1. OnePlus 5 - Mobile https://www.amazon.in/gp/product/B01MXZW51M/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B01MXZW51M&linkCode=as2&tag=qhi-21 2. HP 14-AM122TU 14-inch Laptop https://www.amazon.in/gp/product/B06ZYLLT8G/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B06ZYLLT8G&linkCode=as2&tag=qhi-21 3. Canon EOS 700D 18MP Digital SLR Camera https://www.amazon.in/gp/product/B00VT61IKA/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B00VT61IKA&linkCode=as2&tag=qhi-21 4. Sonia 9 Feet Light Stand LS-250 https://www.amazon.in/gp/product/B01K7SW2OQ/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B01K7SW2OQ&linkCode=as2&tag=qhi-21 5. Sony MDR-XB450 On-Ear EXTRA BASS Headphones https://www.amazon.in/gp/product/B00NFJGUPW/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B00NFJGUPW&linkCode=as2&tag=qhi-21 6. QHM 602 USB MINI SPEAKER https://www.amazon.in/gp/product/B00L393EXC/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B00L393EXC&linkCode=as2&tag=qhi-21 7. Photron Tripod Stedy 400 with 4.5 Feet Pan Head https://www.amazon.in/gp/product/B00UBUMCNW/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B00UBUMCNW&linkCode=as2&tag=qhi-21 8. Tie Clip Collar mic Lapel https://www.amazon.in/gp/product/B00ITOD6NM/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B00ITOD6NM&linkCode=as2&tag=qhi-21 9. Hanumex Generic Green BackDrop Background 8x12 Ft for Studio Backdrop https://www.amazon.in/gp/product/B06W53TMDR/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B06W53TMDR&linkCode=as2&tag=qhi-21 10. J 228 Mini Tripod Mount + Action Camera Holder Clip Desktop Self-Tripod For Camera https://www.amazon.in/gp/product/B072JXX9DB/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B072JXX9DB&linkCode=as2&tag=qhi-21 11. Seagate Backup Plus Slim 1TB Portable External Hard Drive https://www.amazon.in/gp/product/B00GASLJK6/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B00GASLJK6&linkCode=as2&tag=qhi-21 Watch other Videos from ‘Quality HUB India’ 1. Process Capability Study (Cp,Cpk, Pp & Ppk) - https://www.youtube.com/watch?v=5hBRE0uji5w 2. What is Six Sigma ?Learn Six Sigma in 30 minutes- https://www.youtube.com/watch?v=1oiKYydbrSw 3. Failure Mode and Effects Analysis (FMEA) - https://www.youtube.com/watch?v=UxSBUHgb1V0&t=25s 4. Statistical Process Control (SPC) in Hindi – https://www.youtube.com/watch?v=WiVjjoeIrmc&t=115s 5. Measurement System Analysis (MSA) (Part 1) - https://www.youtube.com/watch?v=GGwaZeMmZS8&t=25s 6. Advanced Product Quality Planning(APQP) - https://www.youtube.com/watch?v=FaawYoPsUYE&t=35s 7. ‘Quality Circles' - https://www.youtube.com/watch?v=kRp9OIANgG8&t=25s 8. What is 'Cost of Quality' and 'Cost of Poor Quality' - https://www.youtube.com/watch?v=IsCRylbHni0&t=25s 9. How to perfectly define a problem ? 5W and 1H approach - https://www.youtube.com/watch?v=JXecodDxBfs&t=55s 10. What is 'Lean Six Sigma' ? Learn the methodology with benefits. - https://www.youtube.com/watch?v=86XJqf1IhQM&t=41s 11. What is KAIZEN ? 7 deadly Waste (MUDA) and benefit of KAIZEN - https://www.youtube.com/watch?v=TEcE-cKk1qI&t=115s 12. What is '5S' Methodology? (Hindi)- https://www.youtube.com/watch?v=dW8faNOX91M&t=25s 13. 7 Quality Control Tools - (Part 1) Hindi - https://www.youtube.com/watch?v=bQ9t3zoM0NQ&t=88s 14. "KAIZEN" in HINDI- https://www.youtube.com/watch?v=xJpbHTc3wmo&t=25s 15. 'PDCA' or 'Deming Cycle'. Plan-DO-Check-Act cycle - https://www.youtube.com/watch?v=Kf-ax6qIPVc 16. Overall Equipment Effectiveness (OEE) - https://www.youtube.com/watch?v=5OM5-3WVtd0&feature=youtu.be 17. Why-Why Analysis? - Root Cause Analysis Tool - https://www.youtube.com/watch?v=Uxn6N6OJvwA
Views: 484807 Quality HUB India
But what is the Fourier Transform?  A visual introduction.
 
20:57
An animated introduction to the Fourier Transform, winding graphs around circles. Supported by viewers: https://www.patreon.com/3blue1brown Special thanks to these Patrons: http://3b1b.co/fourier-thanks Follow-on video about the uncertainty principle: https://youtu.be/MBnnXbOM5S4 Puzzler at the end by Jane Street: https://janestreet.com/3b1b Interactive made by a viewer inspired by this video: https://prajwalsouza.github.io/Experiments/Fourier-Transform-Visualization.html If you want to contribute translated subtitles or to help review those that have already been made by others and need approval, you can click the gear icon in the video and go to subtitles/cc, then "add subtitles/cc". I really appreciate those who do this, as it helps make the lessons accessible to more people. Music by Vincent Rubinetti: https://vincerubinetti.bandcamp.com/album/the-music-of-3blue1brown ------------------ 3blue1brown is a channel about animating math, in all senses of the word animate. And you know the drill with YouTube, if you want to stay posted on new videos, subscribe, and click the bell to receive notifications (if you're into that). If you are new to this channel and want to see more, a good place to start is this playlist: http://3b1b.co/recommended Various social media stuffs: Website: https://www.3blue1brown.com Twitter: https://twitter.com/3Blue1Brown Patreon: https://patreon.com/3blue1brown Facebook: https://www.facebook.com/3blue1brown Reddit: https://www.reddit.com/r/3Blue1Brown
Views: 2449299 3Blue1Brown
What is ENGINEERING ANALYSIS? What does ENGINEERING ANALYSIS mean? ENGINEERING ANALYSIS meaning
 
01:47
What is ENGINEERING ANALYSIS? What does ENGINEERING ANALYSIS mean? ENGINEERING ANALYSIS meaning - ENGINEERING ANALYSIS definition - ENGINEERING ANALYSIS explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. SUBSCRIBE to our Google Earth flights channel - https://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ Engineering analysis involves the application of scientific analytic principles and processes to reveal the properties and state of a system, device or mechanism under study. Engineering analysis is decompositional: it proceeds by separating the engineering design into the mechanisms of operation or failure, analysing or estimating each component of the operation or failure mechanism in isolation, and re-combining the components according to basic physical principles and natural laws. Engineering analysis is the primary method for predicting and handling issues with remote systems such as satellites and rovers. Engineering analysis for remote systems must be ongoing since the health and safety of the remote system can only be affected remotely (and because any failure could have fatal consequences). The capabilities of engineering analysis therefore must incorporate trending as well as analysis. Trending should be proactive, predictive, comprehensive and automated. Analysis must be reactive, investigative, targeted and hands-on. Together trending and analysis allow operators to both predict potential situations and identify anomalous events that threaten a remote system.
Views: 461 The Audiopedia
New CGI of How Titanic Sank | Titanic 100
 
02:42
Titanic: The Final Word With James Cameron : James Cameron and his team pull together a new CGI of how they believe the TItanic sank and reached the ocean floor. ➡ Subscribe: http://bit.ly/NatGeoSubscribe #NationalGeographic #Titanic #Titanic100 About National Geographic: National Geographic is the world's premium destination for science, exploration, and adventure. Through their world-class scientists, photographers, journalists, and filmmakers, Nat Geo gets you closer to the stories that matter and past the edge of what's possible. Get More National Geographic: Official Site: http://bit.ly/NatGeoOfficialSite Facebook: http://bit.ly/FBNatGeo Twitter: http://bit.ly/NatGeoTwitter Instagram: http://bit.ly/NatGeoInsta New CGI of How Titanic Sank | Titanic 100 https://youtu.be/FSGeskFzE0s National Geographic https://www.youtube.com/natgeo
Views: 25069863 National Geographic
What is DDA line drawing algorithm in Computer Graphics?
 
09:18
A simple and detailed video explaining the working of a DDA algorithm. Learn how DDA works. What are the requirements for a computer to draw a line and how DDA helps. Follow us on Twitter : @theunacademy Like us on Facebook : https://www.facebook.com/unacademy Subscribe to the channel and support us make learning easier.
Views: 220614 Unacademy
What Is Dynamic Programming and How To Use It
 
14:28
**Dynamic Programming Tutorial** This is a quick introduction to dynamic programming and how to use it. I'm going to use the Fibonacci sequence as the primary example. Sample code is available in Jupyter Notebook and plain Python at: https://www.csdojo.io/dpcode Keep in touch on Facebook: https://www.facebook.com/entercsdojo Support me on Patreon: https://www.patreon.com/csdojo
Views: 427478 CS Dojo
8:45 AM - The Hindu Vocabulary with Tricks (20 March, 2019) | Day #638
 
15:10
Subscribe new channel “wifistudy State Exams”: - https://www.youtube.com/wifistudystateexams Use Referral Code “wifistudy” & Get 10% Discount on Unacademy Plus Subscription Available Plus Courses: - (Call/WhatsApp: 70233-33675) 👉 Railway Exams 2019: ⇒ RRB NTPC: https://goo.gl/fgPLQz ⇒ RRB JE: https://goo.gl/fgPLQz ⇒ RRB Level-1: https://goo.gl/fgPLQz ⇒ RRB Paramedical: https://goo.gl/fgPLQz 👉 SSC 2019: ⇒ SSC CGL: https://goo.gl/j4UBcL ⇒ SSC CHSL: https://goo.gl/j4UBcL ⇒ SSC MTS: https://goo.gl/j4UBcL 👉 Banking & Insurance 2019: ⇒ SBI PO: https://goo.gl/Tje5WM ⇒ SBI Clerk: https://goo.gl/Tje5WM ⇒ IBPS PO: https://goo.gl/Tje5WM ⇒ IBPS Clerk: https://goo.gl/Tje5WM ⇒ IBPS RRB PO: https://goo.gl/Tje5WM ⇒ IBPS RRB Clerk: https://goo.gl/Tje5WM ⇒ IBPS SO: https://goo.gl/Tje5WM ⇒ LIC AAO: https://goo.gl/Tje5WM ⇒ RBI Grade B: https://goo.gl/Tje5WM ⇒ RBI Assistant: https://goo.gl/Tje5WM 👉 UPSC CDS (II) 2019: https://goo.gl/2N4gkt 👉 AFCAT 2019: ⇒ AFCAT (Flying): https://goo.gl/2N4gkt ⇒ AFCAT (Ground Duty): https://goo.gl/2N4gkt 👉 NTA-UGC NET: https://goo.gl/GCu47a 👉 RPSC: ⇒ RAS (Pre + Main): https://goo.gl/5aMjcq ⇒ 1st Grade Teacher: https://goo.gl/5aMjcq ⇒ Rajasthan Patwari: https://goo.gl/5aMjcq 👉 Teacher Eligibility Test (TET) ⇒ CTET: https://goo.gl/CguLRM ⇒ TET: https://goo.gl/CguLRM ⇒ UPTET: https://goo.gl/CguLRM Unacademy Plus Subscription Benefits: - 1. One Subscription, Unlimited Access 2. Learn from your favourite teacher 3. Real time interaction with teacher 4. You can ask doubts in live class 5. Limited students 6. Download the videos & watch offline 👉 Use Referral Code “wifistudy” & Get 10% Discount on Unacademy Plus Subscription ⇒ https://unacademy.com/plus wifistudy is a part of the Unacademy Group. Follow us on Unacademy: https://unacademy.com/user/wifistudy We're Hiring, Apply Here: Engineering: https://goo.gl/forms/T6lphLmUIw6mRqS82 UPSC: https://goo.gl/forms/cbMs6FCIaWKkGEvp2 General: https://goo.gl/forms/dR1MZdFja34rDo2G2 === Live Classes Schedule (Mon-Fri) from 11th March === Morning Shows: 5:00 AM - Current Affairs Quiz Show by Bhunesh Sir 7:00 AM - The Hindu Editorial Analysis by Vishal Sir 8:00 AM - Current Affairs Show by Bhunesh Sir 8:45 AM - Vocabulary Show by Bhunesh Sir RRB ALP 2018 (Psycho): 6:00 AM - Psychological Tests by Ramveer Sir RRB JE 2019 (CBT-1): 9:00 AM - General Awareness by Bhunesh Sir 9:30 AM - General Science by Shipra Ma'am 10:00 AM - Reasoning Hitesh Sir 11:00 AM - Maths by Sahil Sir RRB NTPC 2019 (CBT-1): 12:00 PM - General Science by Shipra Ma'am 12:30 PM - Maths by Sahil Sir 1:00 PM - General Awareness by Bhunesh Sir 1:30 PM - Reasoning by Deepak Sir SBI PO/Clerk 2019: 2:00 PM - Reasoning by Puneet Sir 3:00 PM - English by Vishal Sir 4:00 PM - Maths by Arun Sir अब CGL दूर नहीं: 5:00 PM - Maths by Naman Sir 6:00 PM - GK by Praveen Sir 7:00 PM - English by Harsh Sir 8:00 PM - Reasoning by Deepak Sir RRB JE 2019 (CBT-2): 9:00 PM - Civil Engg by Sandeep Sir 9:00 PM - Electrical Engg by Ashish Sir 10:00 PM - Computer Science by Pandey Sir 10:00 PM - Electronics Engg by Ratnesh Sir 11:00 PM - Mechanical Engg by Neeraj Sir Channel - @wifistudy State Exams https://www.youtube.com/wifistudystateexams === Live Classes Schedule (Mon-Fri) from 11th March === RPSC 1st Grade Teacher 2019: 11:00 AM - Indian Constitution by Rajendra Sir 11:30 AM - Geography By Rajendra Sir 12:00 PM - History by Praveen Sir अब Patwar दूर नहीं: 1:00 PM - Geography by Rajendra Sir 1:30 PM - Maths by Sahil Sir 2:00 PM - History by Praveen Sir 2:30 PM - Hindi by Ganesh Sir Master Classes - For All State Level & Other Competative Exams 4:00 PM - Reasoning by Hitesh Sir 5:00 PM - GK by Sandeep Sir 6:00 PM - Hindi by Ganesh Sir 7:00 PM - Maths by Naman Sir 8:00 PM - English by Sanjeev Sir Download wifistudy App: https://play.google.com/store/apps/details?id=com.wifistudy.onlinetest #Plus_Courses_व_Live_Classes_Schedule_in_Description
Views: 22545 wifistudy
What is Agile?
 
11:56
This short cartoon answers the question "What Is Agile?" and will give you the background to understand the Agile principles and values and how they can help you and your team work together more efficiently. If you'd like a free book on this topic, please see below... https://mailchi.mp/326ba47ba2e8/agile-list I've published a book called "Starting Agile" that is designed to help you start your team's Agile journey outright. You can buy a copy from Amazon, but I'm giving free copies away to my subscribers from YouTube. You can signup for a copy at the link above. If you'd like to connect with me on LinkedIn you can find me at the link below. Just send me a message saying hello and that you found me from one of my videos: https://www.linkedin.com/in/markshead
Views: 1132354 Mark Shead
15 Sorting Algorithms in 6 Minutes
 
05:50
Visualization and "audibilization" of 15 Sorting Algorithms in 6 Minutes. Sorts random shuffles of integers, with both speed and the number of items adapted to each algorithm's complexity. The algorithms are: selection sort, insertion sort, quick sort, merge sort, heap sort, radix sort (LSD), radix sort (MSD), std::sort (intro sort), std::stable_sort (adaptive merge sort), shell sort, bubble sort, cocktail shaker sort, gnome sort, bitonic sort and bogo sort (30 seconds of it). More information on the "Sound of Sorting" at http://panthema.net/2013/sound-of-sorting
Views: 5972957 Timo Bingmann
What is CLUSTER ANALYSIS? What does CLUSTER ANALYSIS mean? CLUSTER ANALYSIS meaning & explanation
 
03:04
What is CLUSTER ANALYSIS? What does CLUSTER ANALYSIS mean? CLUSTER ANALYSIS meaning - CLUSTER ANALYSIS definition - CLUSTER ANALYSIS explanation. Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a cluster) are more similar (in some sense or another) to each other than to those in other groups (clusters). It is a main task of exploratory data mining, and a common technique for statistical data analysis, used in many fields, including machine learning, pattern recognition, image analysis, information retrieval, bioinformatics, data compression, and computer graphics. Cluster analysis itself is not one specific algorithm, but the general task to be solved. It can be achieved by various algorithms that differ significantly in their notion of what constitutes a cluster and how to efficiently find them. Popular notions of clusters include groups with small distances among the cluster members, dense areas of the data space, intervals or particular statistical distributions. Clustering can therefore be formulated as a multi-objective optimization problem. The appropriate clustering algorithm and parameter settings (including values such as the distance function to use, a density threshold or the number of expected clusters) depend on the individual data set and intended use of the results. Cluster analysis as such is not an automatic task, but an iterative process of knowledge discovery or interactive multi-objective optimization that involves trial and failure. It is often necessary to modify data preprocessing and model parameters until the result achieves the desired properties. Besides the term clustering, there are a number of terms with similar meanings, including automatic classification, numerical taxonomy, botryology (from Greek ß????? "grape") and typological analysis. The subtle differences are often in the usage of the results: while in data mining, the resulting groups are the matter of interest, in automatic classification the resulting discriminative power is of interest. This often leads to misunderstandings between researchers coming from the fields of data mining and machine learning, since they use the same terms and often the same algorithms, but have different goals. Cluster analysis was originated in anthropology by Driver and Kroeber in 1932 and introduced to psychology by Zubin in 1938 and Robert Tryon in 1939 and famously used by Cattell beginning in 1943 for trait theory classification in personality psychology.
Views: 7207 The Audiopedia
K-means & Image Segmentation - Computerphile
 
08:27
K-means sorts data based on averages. Dr Mike Pound explains how it works. Fire Pong in Detail: https://youtu.be/ZoZMMg1r_Oc Deep Dream: https://youtu.be/BsSmBPmPeYQ FPS & Digital Video: https://youtu.be/yniSnYtkrwQ Dr. Mike's Code: % This script is the one mentioned during the Computerphile Image % Segmentation video. I chose matlab because it's a popular tool for % quickly prototyping things. Matlab licenses are pricey, if you don't have % one (or, like me, work for an organisation that does) try Octave as a % good free alternative. This code should work in Octave too. % Load in an input image im = imread('C:\Path\Of\Input\Image.jpg'); % In matlab, K-means operates on a 2D array, where each sample is one row, % and the features are the columns. We can use the reshape function to turn % the image into this format, where each pixel is one row, and R,G and B % are the columns. We are turning a W,H,3 image into W*H,3 % We also cast to a double array, because K-means requires it in matlab imflat = double(reshape(im, size(im,1) * size(im,2), 3)); % I specify that initialisation shuold sample points at % random, rather than anything complex like kmeans++ initialisation. % Kmeans++ takes a long time if you are using 256 classes. % Perform k-means. This function returns the class IDs assigned to each % pixel, and in this case we also want the mean values for each class - % what colour is each class. This can take a long time if the value for K % is large, I've used the sampling start strategy to speed things up. % While KMeans is running, it will show you the iteration count, and the % number of pixels that have changed class since last iteration. This % number should get lower and lower, as the means settle on appropriate % values. For large K, it's unlikely that we will ever reach zero movement % (convergence) within 150 iterations. K = 3 [kIDs, kC] = kmeans(imflat, K, 'Display', 'iter', 'MaxIter', 150, 'Start', 'sample'); % Matlab can output paletted images, that is, grayscale images where the % colours are stored in a separate array. This array is kC, and kIDs are % the grayscale indices. colormap = kC / 256; % Scale 0-1, since this is what matlab wants % Reshape kIDs back into the original image shape imout = reshape(uint8(kIDs), size(im,1), size(im,2)); % Save file out, you need to subtract 1 from the image classes, since once % stored in the file the values should go from 0-255, not 1-256 like matlab % would do. imwrite(imout - 1, colormap, 'C:\Path\Of\Output\Image.png'); http://www.facebook.com/computerphile https://twitter.com/computer_phile This video was filmed and edited by Sean Riley. Computer Science at the University of Nottingham: http://bit.ly/nottscomputer Computerphile is a sister project to Brady Haran's Numberphile. More at http://www.bradyharan.com
Views: 176006 Computerphile
What is Big Data Pipeline? Explained by an expert in simple language - Computer awareness
 
22:17
Download UPSCIQ Magazine - http://bit.ly/2DH1ZWq || Download All Videos PDFs - https://goo.gl/X8UMwF || Join #StudyIQ on Telegram - https://goo.gl/xBR3g8 #Pendrive_Courses for Various Govt. Exams. Click here to know more - https://goo.gl/aTFK6Q or #Call_9580048004 Live Chat Support - https://goo.gl/s68PZ1 UPSC/CSE 2019 - https://goo.gl/UrCD46 SSC & Bank - https://goo.gl/9LQ4Ai UPSC Optionals - https://goo.gl/rtmXRU State PSCs - https://goo.gl/FDB32q Defence Exams - https://goo.gl/UEmtRz SSC JE Exams - https://goo.gl/2WyU1Z RBI Grade B - https://goo.gl/PY32m6 NABARD Grade A - https://goo.gl/C6CzAL DMRC Exams - https://goo.gl/yDnvyf Insurance Exams - https://goo.gl/iLEFxf CLAT 2019 - https://goo.gl/Burjtj Railway Jobs - https://goo.gl/5KaL7h Teaching Jobs - https://goo.gl/q117TX UPSC Prelim 2019Test Series -https://goo.gl/zkCG51 Free PDFs - https://goo.gl/cJufZc || Free Quiz - https://goo.gl/wCxZsy || Free Video Courses - https://goo.gl/jtMKP9" Follow us on Facebook - https://goo.gl/iAhPDJ Telegram - https://t.me/Studyiqeducation The Hindu Editorial Analysis - https://goo.gl/vmvHjG Current Affairs by Dr Gaurav Garg - https://goo.gl/bqfkXe UPSC/IAS Burning Issues analysis- https://goo.gl/2NG7vP World History for UPSC - https://goo.gl/J7DLXv Indian History - https://goo.gl/kVwB79 Follow us on Facebook - https://goo.gl/iAhPDJ Follow Dr Gaurav Garg on Facebook - https://goo.gl/xqLaQm UPSC/IAS past papers questions - https://goo.gl/F5gyWH SSC CGL + IBPS Quantitative tricks - https://goo.gl/C6d9n8 English Vocabulary - https://goo.gl/G9e04H Reasoning tricks for Bank PO + SSC CGL- https://goo.gl/a68WRN Error spotting / Sentence correction https://goo.gl/6RbdjC Static GK complete- https://goo.gl/kB0uAo Complete GK + Current Affairs for all exams- https://goo.gl/MKEoLy World History - UPSC / IAS - https://goo.gl/kwU9jC Learn English for SSC CGL, Bank PO https://goo.gl/MoL2it Science and Technology for UPSC/IAS - https://goo.gl/Jm4h8j Philosophy for UPSC/IAS - https://goo.gl/FH9p3n Yojana Magazine analysis -https://goo.gl/8oK1gy History for SSC CGL + Railways NTPC - https://goo.gl/7939eV
Views: 15119 Study IQ education
Making data mean more through storytelling | Ben Wellington | TEDxBroadway
 
14:19
Ben Wellington uses data to tell stories. In fact, he draws on some key lessons from fields well outside computer science and data analysis to make his observations about New York City fascinating. Never has a fire hydrant been so interesting as in this talk. Ben Wellington is a computer scientist and data analyst whose blog, I Quant NY, uses New York City open data to tell stories about everything from parking ticket geography to finding the sweet spot in MetroCard pricing. His articles have gone viral and, in some cases, led to policy changes. Wellington teaches a course on NYC open data at the Pratt Institute and is a contributor to Forbes and other publications. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at http://ted.com/tedx
Views: 162704 TEDx Talks
What is BRUCETON ANALYSIS? What does BRUCETON ANALYSIS mean? BRUCETON ANALYSIS meaning
 
03:05
What is BRUCETON ANALYSIS? What does BRUCETON ANALYSIS mean? BRUCETON ANALYSIS meaning - BRUCETON ANALYSIS definition - BRUCETON ANALYSIS explanation. SUBSCRIBE to our Google Earth flights channel - http://www.youtube.com/channel/UC6UuCPh7GrXznZi0Hz2YQnQ?sub_confirmation=1 Source: Wikipedia.org article, adapted under https://creativecommons.org/licenses/by-sa/3.0/ license. A Bruceton analysis is one way of analyzing sensitivity and sensitiveness tests of explosives as described originally by Dixon and Mood in 1948. Also known as the "Up and Down Test" or "the staircase method", a Bruceton analysis relies upon two parameters: first stimulus and step size. A stimulus is provided to the sample, and the results noted. If a positive result is noted, then the stimulus is decremented by the step size. If a negative result occurs, the stimulus is increased. The test continues with each sample tested at a stimulus 1 step up or down from the previous stimulus if the previous result was negative or positive. The results are tabulated and analyzed via Bruceton analysis, a simple computation of sums that can be performed by pencil and paper, to provide estimates of the mean and standard deviation. Confidence estimates are also produced. Other analysis methods are the Neyer d-optimal test and Dror and Steinberg sequential procedure. Bruceton analysis has an advantage over the modern techniques being very simple to implement and analyze - as it was designed to be performed without a computer. The modern techniques offer a great improvement in efficiency, needing a much smaller sample size to obtain any desired significance level. Furthermore, these techniques enable the treatment of many other related experimental designs - such as when there is a need to learn the influence of more than one variable (say, testing the sensitivity of an explosive to both shock level and environment temperature), to models which are not only binary by nature (not only "detonate or not"), to experiments where you decide in advance (or "group") on more than one sample in each "run", and more. In fact, with the modern techniques the experimenter is not even constrained to specify a single model and can reflect uncertainty as to the form of the true model. For mechanical threshold testing, typically on the mouse or rat paw, the up down method, originally proposed by Dixon, was used by SR Chaplan et al. in 1994. Their paper tabulated the coefficients required to process the data after testing. The mechanical thresholds generated have a discrete range of values (i.e. do not lie on an analog scale) and thus should be regarded as non-parametric for statistical purposes.
Views: 102 The Audiopedia
8 Things Your Eyes Say About Your Health
 
04:49
What your eyes are trying to tell you about your health problems. Any vision change is an alarm bell that requires an instant response. An old saying claims that your eyes are the windows to your soul. No one knows where this phrase came from, but nevertheless, we all know for sure that our eyes can say a lot about us and our health. Have your eyes suddenly become red? Have you ever had blind spots? In some cases, a cold compress and relaxation are all you need. Other times, you have to see a doctor immediately. TIMESTAMPS Permanent sty 0:31 Eyebrow loss 1:15 Burning eyes 1:54 Blind spots 2:32 Bulging eyes 2:54 Yellow whites 3:27 Cloudy vision for diabetics 3:46 Impaired vision, vision loss 4:14 SUMMARY - If you’ve ever had a sty, you know the pain and irritation it causes. It looks like a pimple formed on the eyelid. The eyelid usually swells up as the sty develops. A lump on the eyelid appears due to a blocked sebaceous gland and usually goes away within three-four days. - Eyebrow loss can affect one or both eyebrows with partial or complete hair loss. Spot baldness can be a reason, though it affects no more than 0.1% of the population. - Many of us spend hours at our computers at home and at work, which causes burning eyes or blurred vision. Nowadays this situation occurs so often that there’s a special medical term that describes vision problems connected with a prolonged computer, cell phone, or e-book use: ‘digital eye strain’ or ‘dry eye syndrome.’ - It's always frightening to notice a blind spot in your vision. This may pretty often point at a migraine with aura, especially if the picture you get in front of your eyes is accompanied by sparkling dots or wavy lines. Typically, blind spots go together with headaches. - Bulging eyes: we have all had times when our eyes seemed to betray us. We rub them or blink several times, and our vision seems to become clear again. But if you constantly feel some sort of expansion in your eyes, it can be a symptom of thyroid eye disease. - Every day we spend time looking in the mirror, so it’s unlikely we can miss this problem. Both adults and newborns with the undeveloped liver function may face jaundice. It may also be connected with the state of the gallbladder or bile ducts. - People with diabetes have to pay special attention to their health. And vision is one of the things they keep tabs on. One such problem is diabetic retinopathy — a state caused by damage to blood vessels in the photosensitive retina tissue. - If you notice your vision suddenly impaired, clouded, or even disappearing for a moment, seek medical help immediately. These symptoms are often the first signs of a stroke. Take care of your health, and we hope you find our video beneficial to you. Subscribe to Bright Side : https://goo.gl/rQTJZz ---------------------------------------------------------------------------------------- Our Social Media: Facebook: https://www.facebook.com/brightside/ Instagram: https://www.instagram.com/brightgram/ 5-Minute Crafts Youtube: https://www.goo.gl/8JVmuC ---------------------------------------------------------------------------------------- For more videos and articles visit: http://www.brightside.me/
Views: 1506129 BRIGHT SIDE
UML Use Case Diagram Tutorial
 
13:24
Learn how to make Use Case Diagrams in this tutorial. Both beginners and intermediate UML diagrammers will find all the necessary training and examples on systems, actors, use cases, and include and extend relationships. UML Use Case Diagrams show a system or application; then they show the people, organizations, or other systems that interact with it; and finally, they show a basic flow of what the system or application does. This tutorial explains the four main characteristics of Use Case Diagrams: systems, actors, use cases, and relationships. A system is whatever you’re developing. It could be a website, a software component, a business process, an app, or any number of other things. You represent a system with a rectangle. The next aspect of Use Case Diagrams are actors. An actor is going to be someone or something that uses our system to achieve a goal, and they're represented by a stick figure. Use Cases are elements that really start to describe what the system does. They're depicted with an oval shape and they represent an action that accomplishes some sort of task within the system. The final element in Use Case Diagrams are relationships, which show how actors and use cases interact with each other. There are different types of relationships (like association, include, extend, and generalization) that are represented by varying types of lines and arrows. —— Learn more and sign up: http://www.lucidchart.com Follow us: Facebook: https://www.facebook.com/lucidchart Twitter: https://twitter.com/lucidchart Instagram: https://www.instagram.com/lucidchart LinkedIn: https://www.linkedin.com/company/lucidsoftware
Views: 595026 Lucidchart
Null Hypothesis, p-Value, Statistical Significance, Type 1 Error and Type 2 Error
 
15:54
SKIP AHEAD: 0:39 – Null Hypothesis Definition 1:42 – Alternative Hypothesis Definition 3:12 – Type 1 Error (Type I Error) 4:16 – Type 2 Error (Type II Error) 4:43 – Power and beta 6:33 – p-Value 8:39 – Alpha and statistical significance 14:15 – Statistical hypothesis testing (t-test, ANOVA & Chi Squared) For the text of this video click here http://www.stomponstep1.com/p-value-null-hypothesis-type-1-error-statistical-significance/ For my video on Confidence Intervals click here http://www.stomponstep1.com/confidence-interval-interpretation-95-confidence-interval-90-99/
Views: 428674 Stomp On Step 1
P vs. NP and the Computational Complexity Zoo
 
10:44
Hackerdashery #2 Inspired by the Complexity Zoo wiki: https://complexityzoo.uwaterloo.ca/Complexity_Zoo For more advanced reading, I highly recommend Scott Aaronson's blog, Shtetl-Optimized: http://www.scottaaronson.com/blog/ ----- Retro-fabulous, cabinet-sized computers: System/360: http://en.wikipedia.org/wiki/IBM_System/360 photo: "360-91-panel". Licensed under Public domain via Wikimedia Commons - http://commons.wikimedia.org/wiki/File:360-91-panel.jpg#mediaviewer/File:360-91-panel.jpg PDP-8: http://en.wikipedia.org/wiki/PDP-8 photo: "PDP-8". Licensed under Public domain via Wikimedia Commons - http://commons.wikimedia.org/wiki/File:PDP-8.jpg#mediaviewer/File:PDP-8.jpg ----- Protein folding illustration: "Protein folding schematic" by Tomixdf (talk) - Own work (Original text: “self-made”). Licensed under Public domain via Wikimedia Commons - http://commons.wikimedia.org/wiki/File:Protein_folding_schematic.png#mediaviewer/File:Protein_folding_schematic.png P vs. NP opinion poll: http://www.cs.umd.edu/~gasarch/papers/poll2012.pdf
Views: 1768544 hackerdashery