• Algorithms: Graph Search, DFS and BFS

    Learn the basics of graph search and common operations; Depth First Search (DFS) and Breadth First Search (BFS). This video is a part of HackerRank's Cracking The Coding Interview Tutorial with Gayle Laakmann McDowell. http://www.hackerrank.com/domains/tutorials/cracking-the-coding-interview?utm_source=video&utm_medium=youtube&utm_campaign=ctci

    published: 27 Sep 2016
  • YouTube Algorithm 2017 Explained - The A.I. Behind The Curtain

    Here is part of my CVXLive 2017 Presentation: YouTube Algorithm 2017 Explained - The A.I. Behind The Curtain. This is the 3rd part of the Decoding the YouTube Algorithm and learn how to grow fast on YouTube with Algorithm Driven views series. Learn about YouTube Machine Learning Technology and how it interacts with viewers, videos, and channels. Get Access to Free VidSummit Replays https://vidsummit.com/freereplays Tickets to VidSummit 2017 https://vidsummit.com Decoding the YouTube Algorithm and learn how to grow fast on YouTube with Algorithm Driven views series ➜ https://goo.gl/sa6aGp Get More Great Tips - Subscribe ➜ http://goo.gl/dWNo9H Share this Video: ➜ https://youtu.be/Ix1gnDmuMyI My Favorite YouTube Tool TubeBuddy Download TubeBuddy Free Today! ➜ http://goo.gl/PrGfLe Join ...

    published: 09 Aug 2017
  • Brian Christian & Tom Griffiths: "Algorithms to Live By" | Talks at Google

    Practical, everyday advice which will easily provoke an interest in computer science. In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living. Brian Christian is the author of The Most Human Human, a Wall Street Journal bestseller, New York Times editors’ choice, and a New Yorker favorite book ...

    published: 12 May 2016
  • How to make your greatest investment | Rachel Fox | TEDxTeen

    Rachel became involved with investing and trading at 15. Before trading, she was looking for ways to grow her savings and become financially independent at a young age. Her parents were very financially aware and infused that into her life early on. At 15, Rachel began researching how to invest and trade on the Internet. She opened her first joint online trading account with her parents, started with stocks, and 3.5 years later, she is currently trading stocks, futures and options successfully. Rachel has been working as an entertainer since she was 5-years-old. She has grown up performing and entertaining via music and film, and will continue to do so for the rest of her life. Rachel and her band, No Babies No Bullets have played at different music festivals and venues through the West C...

    published: 16 Jun 2015
  • How To Program For Beginners | Episode 1: Algorithms

    This is the start to a new series, and I hope to teach you guys all the tricks and tips you need to becoming a successful programmer! If you're interested in more videos, and you want to continue to get better at programming, please subscribe for all future episodes!

    published: 30 May 2016
  • R11. Principles of Algorithm Design

    MIT 6.006 Introduction to Algorithms, Fall 2011 View the complete course: http://ocw.mit.edu/6-006F11 Instructor: Victor Costan License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

    published: 14 Jan 2013
  • Swift Fun Algorithms #4: Most Common Name in Array

    Today, we continue with our series by going over how to get the most common name inside of an array. The main takeaway for today's lesson is to learn how to properly keep track of a running count using a Swift Dictionary object. Complete source code here: http://letsbuildthatapp.com/2016/05/11/swift-fun-algorithms-common-name-array/ Follow me on Twitter: https://twitter.com/buildthatapp

    published: 11 May 2016
  • How Random Forest algorithm works

    In this video I explain very briefly how the Random Forest algorithm works with a simple example composed by 4 decision trees.

    published: 04 Apr 2014
  • Practical Machine Learning Tutorial with Python Intro p.1

    The objective of this course is to give you a wholistic understanding of machine learning, covering theory, application, and inner workings of supervised, unsupervised, and deep learning algorithms. In this series, we'll be covering linear regression, K Nearest Neighbors, Support Vector Machines (SVM), flat clustering, hierarchical clustering, and neural networks. For each major algorithm that we cover, we will discuss the high level intuitions of the algorithms and how they are logically meant to work. Next, we'll apply the algorithms in code using real world data sets along with a module, such as with Scikit-Learn. Finally, we'll be diving into the inner workings of each of the algorithms by recreating them in code, from scratch, ourselves, including all of the math involved. This shou...

    published: 11 Apr 2016
  • Lecture 10 - Neural Networks

    Neural Networks - A biologically inspired model. The efficient backpropagation learning algorithm. Hidden layers. Lecture 10 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/course/machine-learning/id515364596 and on the course website - http://work.caltech.edu/telecourse.html Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/ This lecture was recorded on May 3, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.

    published: 06 May 2012
  • Super-Learning Study Aid | 'Accelerated Learning MK2' | Binaural Beats Focus & Concentration

    MP3 DOWNLOAD: http://www.binauralbeatshub.com/?product=accelerated-learning-mk2 ►High Quality MP3s: http://www.binauralbeatshub.com ►Subscribe to our channel and stay up to date on high quality brainwave entrainment audios! Become a part of our growing community on these social platforms: ►Facebook: https://www.facebook.com/binauralbrainwave ►Google +: https://plus.google.com/u/0/b/103041527589930535493/+BinauralBrainwave/posts?pageId=103041527589930535493 ►Twitter: https://twitter.com/Binaural_Beats1 Want to dramatically boost your academic performance? These frequencies have been shown to help optimise your study performance and actually REMEMBER what you've read! For OPTIMAL RESULTS, repeat your study 3 times within the 2 hour duration. Repetition has been shown to dramatically imp...

    published: 10 Jan 2014
  • What Makes a Good Feature? - Machine Learning Recipes #3

    Good features are informative, independent, and simple. In this episode, we'll introduce these concepts by using a histogram to visualize a feature from a toy dataset. Updates: many thanks for the supportive feedback! I’d love to release these episodes faster, but I’m writing them as we go. That way, I can see what works and (more importantly) where I can improve. We've covered a lot of ground already, so next episode I'll review and reinforce concepts, introduce clearer syntax, spend more time on testing, and continue building intuition for supervised learning. I also realize some folks had dependency bugs with Graphviz (my fault!). Moving forward, I won't use any libraries not already installed by Anaconda or Tensorflow. Last: my code in this cast is similar to these great examples...

    published: 27 Apr 2016
  • Java Programming

    Cheat Sheet is Here : http://goo.gl/OPMjte Slower Java Tutorial : http://goo.gl/UHdlyP How to Install Java & Eclipse : http://goo.gl/vEEEJE Best Java Book : http://amzn.to/2l27h2h Support Me on Patreon : https://www.patreon.com/derekbanas In this Java programming Tutorial I'll teach you all of the core knowledge needed to write Java code in 30 minutes. This is the most popular request from everyone. I specifically cover the following topics: primitive data types, comments, class, import, Scanner, final, Strings, static, private, protected, public, constructors, math, hasNextLine, nextLine, getters, setters, method overloading, Random, casting, toString, conversion from Strings to primitives, converting from primitives to Strings, if, else, else if, print, println, printf, logical ope...

    published: 03 Jun 2014
  • Algorithms and Tips You Need to know to Master EPLL

    Hope this video helped! Thanks for watching! Video idea I may or may not continue: Basically, you guys can film yourselves on any event official or unofficial, and you can send in a good solve for YOUR standards. Note: Good reactions will be targeted Then, each month maybe, or 2 months, I'll upload a 'best solves of the month'. Featuring your videos. What defines best? Just an interesting solve of yours, maybe an event your good at, maybe an official solve, and good reactions will be fun to watch. How to send in videos: Nothing fancy, just upload to youtube public or unlisted and private message me a link to it. Or if you really want, you can just send the link here in the comments. Now remember, I'm not sure I will continue this series, I just want to see how successful and entertainin...

    published: 06 Apr 2017
  • Swift 3 Fun Algorithms: Abstract Syntax Tree (Warning: Somewhat Difficult Recursion)

    Let's continue with our theme from last week and implement an even harder recursion algorithm this time. Today, I'll introduce to you something called an Abstract Syntax Tree which is typically used by compilers to figure out what kind of code you are writing. Because this is a somewhat difficult challenge, it's useful to walk through each use case one step at a time. This way you can see clearly how the recursion should be performed. Facebook Group https://www.facebook.com/groups/1240636442694543/ iOS Basic Training Course https://www.letsbuildthatapp.com/basic-training Completed Source Code https://www.letsbuildthatapp.com/course_video?id=922 Follow me on Twitter: https://twitter.com/buildthatapp

    published: 10 Feb 2017
  • 1. Algorithmic Thinking, Peak Finding

    MIT 6.006 Introduction to Algorithms, Fall 2011 View the complete course: http://ocw.mit.edu/6-006F11 Instructor: Srini Devadas License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu

    published: 14 Jan 2013
Algorithms: Graph Search, DFS and BFS

Algorithms: Graph Search, DFS and BFS

  • Order:
  • Duration: 11:49
  • Updated: 27 Sep 2016
  • views: 83602
videos
Learn the basics of graph search and common operations; Depth First Search (DFS) and Breadth First Search (BFS). This video is a part of HackerRank's Cracking The Coding Interview Tutorial with Gayle Laakmann McDowell. http://www.hackerrank.com/domains/tutorials/cracking-the-coding-interview?utm_source=video&utm_medium=youtube&utm_campaign=ctci
https://wn.com/Algorithms_Graph_Search,_Dfs_And_Bfs
YouTube Algorithm 2017 Explained - The A.I. Behind The Curtain

YouTube Algorithm 2017 Explained - The A.I. Behind The Curtain

  • Order:
  • Duration: 33:07
  • Updated: 09 Aug 2017
  • views: 3625
videos
Here is part of my CVXLive 2017 Presentation: YouTube Algorithm 2017 Explained - The A.I. Behind The Curtain. This is the 3rd part of the Decoding the YouTube Algorithm and learn how to grow fast on YouTube with Algorithm Driven views series. Learn about YouTube Machine Learning Technology and how it interacts with viewers, videos, and channels. Get Access to Free VidSummit Replays https://vidsummit.com/freereplays Tickets to VidSummit 2017 https://vidsummit.com Decoding the YouTube Algorithm and learn how to grow fast on YouTube with Algorithm Driven views series ➜ https://goo.gl/sa6aGp Get More Great Tips - Subscribe ➜ http://goo.gl/dWNo9H Share this Video: ➜ https://youtu.be/Ix1gnDmuMyI My Favorite YouTube Tool TubeBuddy Download TubeBuddy Free Today! ➜ http://goo.gl/PrGfLe Join My Patreon Community for More Advanced Training Check Out Our Community! ➜ https://www.patreon.com/derraleves ★ ★ Be the Next Lucky Subscriber to get an In-depth Channel Evaluation: 1. Must be subscribed to My YouTube Channel Subscribe ➜ http://goo.gl/dWNo9H 2. Must be one of my Patrons on Patreon. Check it out! ➜ https://www.patreon.com/derraleves 3. Must be uploading good quality content frequently to your YouTube Channel and really trying hard to make it 4. Must be engaged in my channel by liking, commenting, posting, sharing and encouraging others to subscribe to my channel. Ask me A Question by using hashtag on YouTube or Twitter #AskDerral @derraleves
https://wn.com/Youtube_Algorithm_2017_Explained_The_A.I._Behind_The_Curtain
Brian Christian & Tom Griffiths: "Algorithms to Live By" | Talks at Google

Brian Christian & Tom Griffiths: "Algorithms to Live By" | Talks at Google

  • Order:
  • Duration: 1:07:28
  • Updated: 12 May 2016
  • views: 40440
videos
Practical, everyday advice which will easily provoke an interest in computer science. In a dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show how the algorithms used by computers can also untangle very human questions. They explain how to have better hunches and when to leave things to chance, how to deal with overwhelming choices and how best to connect with others. From finding a spouse to finding a parking spot, from organizing one's inbox to understanding the workings of memory, Algorithms to Live By transforms the wisdom of computer science into strategies for human living. Brian Christian is the author of The Most Human Human, a Wall Street Journal bestseller, New York Times editors’ choice, and a New Yorker favorite book of the year. His writing has appeared in The New Yorker, The Atlantic, Wired, The Wall Street Journal, The Guardian, and The Paris Review, as well as in scientific journals such as Cognitive Science, and has been translated into eleven languages. He lives in San Francisco. Tom Griffiths is a professor of psychology and cognitive science at UC Berkeley, where he directs the Computational Cognitive Science Lab. He has published more than 150 scientific papers on topics ranging from cognitive psychology to cultural evolution, and has received awards from the National Science Foundation, the Sloan Foundation, the American Psychological Association, and the Psychonomic Society, among others. He lives in Berkeley. On behalf of Talks at Google this talk was hosted by Boris Debic. eBook https://play.google.com/store/books/details/Brian_Christian_Algorithms_to_Live_By?id=yvaLCgAAQBAJ
https://wn.com/Brian_Christian_Tom_Griffiths_Algorithms_To_Live_By_|_Talks_At_Google
How to make your greatest investment | Rachel Fox | TEDxTeen

How to make your greatest investment | Rachel Fox | TEDxTeen

  • Order:
  • Duration: 17:21
  • Updated: 16 Jun 2015
  • views: 96029
videos
Rachel became involved with investing and trading at 15. Before trading, she was looking for ways to grow her savings and become financially independent at a young age. Her parents were very financially aware and infused that into her life early on. At 15, Rachel began researching how to invest and trade on the Internet. She opened her first joint online trading account with her parents, started with stocks, and 3.5 years later, she is currently trading stocks, futures and options successfully. Rachel has been working as an entertainer since she was 5-years-old. She has grown up performing and entertaining via music and film, and will continue to do so for the rest of her life. Rachel and her band, No Babies No Bullets have played at different music festivals and venues through the West Coast, including Sundance Film Festival 2015, NAMM, The Viper Room and others. She has also worked on films and television shows with Daniel Craig, Naomi Watts, Patricia Arquette, Daryl Hannah, Michael Chiklis and many more. Since Rachel was home-schooled for high school and finished early, she began blogging about finance and investing to continue while in-between working on sets and playing music. Her blog is read by people both young and old who want basic answers to their finance questions and want to start investing. Rachel was on CNBC, YahooFinance and Fox Business to discuss Fox on Stocks and trading as well as named one of Time Magazine's 25 Top Most Influential Teens of 2014. 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
https://wn.com/How_To_Make_Your_Greatest_Investment_|_Rachel_Fox_|_Tedxteen
How To Program For Beginners | Episode 1: Algorithms

How To Program For Beginners | Episode 1: Algorithms

  • Order:
  • Duration: 24:10
  • Updated: 30 May 2016
  • views: 467
videos
This is the start to a new series, and I hope to teach you guys all the tricks and tips you need to becoming a successful programmer! If you're interested in more videos, and you want to continue to get better at programming, please subscribe for all future episodes!
https://wn.com/How_To_Program_For_Beginners_|_Episode_1_Algorithms
R11. Principles of Algorithm Design

R11. Principles of Algorithm Design

  • Order:
  • Duration: 58:26
  • Updated: 14 Jan 2013
  • views: 24854
videos
MIT 6.006 Introduction to Algorithms, Fall 2011 View the complete course: http://ocw.mit.edu/6-006F11 Instructor: Victor Costan License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
https://wn.com/R11._Principles_Of_Algorithm_Design
Swift Fun Algorithms #4: Most Common Name in Array

Swift Fun Algorithms #4: Most Common Name in Array

  • Order:
  • Duration: 10:16
  • Updated: 11 May 2016
  • views: 2605
videos
Today, we continue with our series by going over how to get the most common name inside of an array. The main takeaway for today's lesson is to learn how to properly keep track of a running count using a Swift Dictionary object. Complete source code here: http://letsbuildthatapp.com/2016/05/11/swift-fun-algorithms-common-name-array/ Follow me on Twitter: https://twitter.com/buildthatapp
https://wn.com/Swift_Fun_Algorithms_4_Most_Common_Name_In_Array
How Random Forest algorithm works

How Random Forest algorithm works

  • Order:
  • Duration: 5:47
  • Updated: 04 Apr 2014
  • views: 178714
videos
In this video I explain very briefly how the Random Forest algorithm works with a simple example composed by 4 decision trees.
https://wn.com/How_Random_Forest_Algorithm_Works
Practical Machine Learning Tutorial with Python Intro p.1

Practical Machine Learning Tutorial with Python Intro p.1

  • Order:
  • Duration: 5:55
  • Updated: 11 Apr 2016
  • views: 382073
videos
The objective of this course is to give you a wholistic understanding of machine learning, covering theory, application, and inner workings of supervised, unsupervised, and deep learning algorithms. In this series, we'll be covering linear regression, K Nearest Neighbors, Support Vector Machines (SVM), flat clustering, hierarchical clustering, and neural networks. For each major algorithm that we cover, we will discuss the high level intuitions of the algorithms and how they are logically meant to work. Next, we'll apply the algorithms in code using real world data sets along with a module, such as with Scikit-Learn. Finally, we'll be diving into the inner workings of each of the algorithms by recreating them in code, from scratch, ourselves, including all of the math involved. This should give you a complete understanding of exactly how the algorithms work, how they can be tweaked, what advantages are, and what their disadvantages are. In order to follow along with the series, I suggest you have at the very least a basic understanding of Python. If you do not, I suggest you at least follow the Python 3 Basics tutorial until the module installation with pip tutorial. If you have a basic understanding of Python, and the willingness to learn/ask questions, you will be able to follow along here with no issues. Most of the machine learning algorithms are actually quite simple, since they need to be in order to scale to large datasets. Math involved is typically linear algebra, but I will do my best to still explain all of the math. If you are confused/lost/curious about anything, ask in the comments section on YouTube, the community here, or by emailing me. You will also need Scikit-Learn and Pandas installed, along with others that we'll grab along the way. Machine learning was defined in 1959 by Arthur Samuel as the "field of study that gives computers the ability to learn without being explicitly programmed." This means imbuing knowledge to machines without hard-coding it. https://pythonprogramming.net/machine-learning-tutorial-python-introduction/ https://twitter.com/sentdex https://www.facebook.com/pythonprogra... https://plus.google.com/+sentdex
https://wn.com/Practical_Machine_Learning_Tutorial_With_Python_Intro_P.1
Lecture 10 - Neural Networks

Lecture 10 - Neural Networks

  • Order:
  • Duration: 1:25:16
  • Updated: 06 May 2012
  • views: 286621
videos
Neural Networks - A biologically inspired model. The efficient backpropagation learning algorithm. Hidden layers. Lecture 10 of 18 of Caltech's Machine Learning Course - CS 156 by Professor Yaser Abu-Mostafa. View course materials in iTunes U Course App - https://itunes.apple.com/us/course/machine-learning/id515364596 and on the course website - http://work.caltech.edu/telecourse.html Produced in association with Caltech Academic Media Technologies under the Attribution-NonCommercial-NoDerivs Creative Commons License (CC BY-NC-ND). To learn more about this license, http://creativecommons.org/licenses/by-nc-nd/3.0/ This lecture was recorded on May 3, 2012, in Hameetman Auditorium at Caltech, Pasadena, CA, USA.
https://wn.com/Lecture_10_Neural_Networks
Super-Learning Study Aid | 'Accelerated Learning MK2' | Binaural Beats Focus & Concentration

Super-Learning Study Aid | 'Accelerated Learning MK2' | Binaural Beats Focus & Concentration

  • Order:
  • Duration: 1:59:39
  • Updated: 10 Jan 2014
  • views: 394396
videos
MP3 DOWNLOAD: http://www.binauralbeatshub.com/?product=accelerated-learning-mk2 ►High Quality MP3s: http://www.binauralbeatshub.com ►Subscribe to our channel and stay up to date on high quality brainwave entrainment audios! Become a part of our growing community on these social platforms: ►Facebook: https://www.facebook.com/binauralbrainwave ►Google +: https://plus.google.com/u/0/b/103041527589930535493/+BinauralBrainwave/posts?pageId=103041527589930535493 ►Twitter: https://twitter.com/Binaural_Beats1 Want to dramatically boost your academic performance? These frequencies have been shown to help optimise your study performance and actually REMEMBER what you've read! For OPTIMAL RESULTS, repeat your study 3 times within the 2 hour duration. Repetition has been shown to dramatically improve retention of large amounts of information! My Facebook page: https://www.facebook.com/binauralbrainwave Use headphones/earbuds and begin at '0' volume. Slowly raise the meter until you reach a comfortable level. ****Loud levels are not necessary to experience the benefits of entrainment.**** If listening for extended periods, take frequent breaks The first hour is closely based on the original version. The frequencies range from theta (4hz) to very low beta (14hz); these are conductive to a mindset which absorbs and retains information during the study period. The second half of this study aid contains a similar step sequence which also ends at low beta, but this time begins at 9hz instead of 4, rising slowly by 1hz every 10 mins or so. There is a short 5 minute segment of pink noise half way through the audio. You can either continue studying through this, or take a short break. Try alternating with this study aid: https://www.youtube.com/watch?v=w4w-Nac5_Xk (Spaced Learning) or this one: https://www.youtube.com/watch?v=jexSg29hpo8 (Gamma Study Aid) Speed Reading: https://www.youtube.com/watch?v=KHbJi8qai50 MK3: https://www.youtube.com/watch?v=Ap4T1Mxj2Nw Deep Sleep Programming For Memory: https://www.youtube.com/watch?v=Bj8Whtjlhhs information retention, improve memory, retain information, study music, focus, concentration
https://wn.com/Super_Learning_Study_Aid_|_'Accelerated_Learning_Mk2'_|_Binaural_Beats_Focus_Concentration
What Makes a Good Feature? - Machine Learning Recipes #3

What Makes a Good Feature? - Machine Learning Recipes #3

  • Order:
  • Duration: 5:41
  • Updated: 27 Apr 2016
  • views: 174758
videos
Good features are informative, independent, and simple. In this episode, we'll introduce these concepts by using a histogram to visualize a feature from a toy dataset. Updates: many thanks for the supportive feedback! I’d love to release these episodes faster, but I’m writing them as we go. That way, I can see what works and (more importantly) where I can improve. We've covered a lot of ground already, so next episode I'll review and reinforce concepts, introduce clearer syntax, spend more time on testing, and continue building intuition for supervised learning. I also realize some folks had dependency bugs with Graphviz (my fault!). Moving forward, I won't use any libraries not already installed by Anaconda or Tensorflow. Last: my code in this cast is similar to these great examples. You can use them to produce a more polished chart, if you like: http://matplotlib.org/examples/statistics/histogram_demo_multihist.html Follow https://twitter.com/random_forests for updates on new episodes! Subscribe to the Google Developers: http://goo.gl/mQyv5L - Subscribe to the brand new Firebase Channel: https://goo.gl/9giPHG And here's our playlist: https://goo.gl/KewA03
https://wn.com/What_Makes_A_Good_Feature_Machine_Learning_Recipes_3
Java Programming

Java Programming

  • Order:
  • Duration: 34:30
  • Updated: 03 Jun 2014
  • views: 2671427
videos
Cheat Sheet is Here : http://goo.gl/OPMjte Slower Java Tutorial : http://goo.gl/UHdlyP How to Install Java & Eclipse : http://goo.gl/vEEEJE Best Java Book : http://amzn.to/2l27h2h Support Me on Patreon : https://www.patreon.com/derekbanas In this Java programming Tutorial I'll teach you all of the core knowledge needed to write Java code in 30 minutes. This is the most popular request from everyone. I specifically cover the following topics: primitive data types, comments, class, import, Scanner, final, Strings, static, private, protected, public, constructors, math, hasNextLine, nextLine, getters, setters, method overloading, Random, casting, toString, conversion from Strings to primitives, converting from primitives to Strings, if, else, else if, print, println, printf, logical operators, comparison operators, ternary operator, switch, for, while, break, continue, do while, polymorphism, arrays, for each, multidimensional arrays and more.
https://wn.com/Java_Programming
Algorithms and Tips You Need to know to Master EPLL

Algorithms and Tips You Need to know to Master EPLL

  • Order:
  • Duration: 4:12
  • Updated: 06 Apr 2017
  • views: 2177
videos
Hope this video helped! Thanks for watching! Video idea I may or may not continue: Basically, you guys can film yourselves on any event official or unofficial, and you can send in a good solve for YOUR standards. Note: Good reactions will be targeted Then, each month maybe, or 2 months, I'll upload a 'best solves of the month'. Featuring your videos. What defines best? Just an interesting solve of yours, maybe an event your good at, maybe an official solve, and good reactions will be fun to watch. How to send in videos: Nothing fancy, just upload to youtube public or unlisted and private message me a link to it. Or if you really want, you can just send the link here in the comments. Now remember, I'm not sure I will continue this series, I just want to see how successful and entertaining it is. Also, my PBs! (Let me know if you can't access them) https://docs.google.com/spreadsheets/d/1-_G72PqdH3o4V3UpeWQLaoPLd6M5G_BxlY7iB03-rg8/edit#gid=0
https://wn.com/Algorithms_And_Tips_You_Need_To_Know_To_Master_Epll
Swift 3 Fun Algorithms: Abstract Syntax Tree (Warning: Somewhat Difficult Recursion)

Swift 3 Fun Algorithms: Abstract Syntax Tree (Warning: Somewhat Difficult Recursion)

  • Order:
  • Duration: 16:01
  • Updated: 10 Feb 2017
  • views: 3654
videos
Let's continue with our theme from last week and implement an even harder recursion algorithm this time. Today, I'll introduce to you something called an Abstract Syntax Tree which is typically used by compilers to figure out what kind of code you are writing. Because this is a somewhat difficult challenge, it's useful to walk through each use case one step at a time. This way you can see clearly how the recursion should be performed. Facebook Group https://www.facebook.com/groups/1240636442694543/ iOS Basic Training Course https://www.letsbuildthatapp.com/basic-training Completed Source Code https://www.letsbuildthatapp.com/course_video?id=922 Follow me on Twitter: https://twitter.com/buildthatapp
https://wn.com/Swift_3_Fun_Algorithms_Abstract_Syntax_Tree_(Warning_Somewhat_Difficult_Recursion)
1. Algorithmic Thinking, Peak Finding

1. Algorithmic Thinking, Peak Finding

  • Order:
  • Duration: 53:22
  • Updated: 14 Jan 2013
  • views: 1031031
videos
MIT 6.006 Introduction to Algorithms, Fall 2011 View the complete course: http://ocw.mit.edu/6-006F11 Instructor: Srini Devadas License: Creative Commons BY-NC-SA More information at http://ocw.mit.edu/terms More courses at http://ocw.mit.edu
https://wn.com/1._Algorithmic_Thinking,_Peak_Finding
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