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| | time | views | |
| 2.3 Friction Force - The Nature of Code | 14:45 | 3,050 | |
| The Coding Train at Home | 2:47:21 | 16,301 | |
| 2.2 Mass and Acceleration - The Nature of Code | 12:13 | 14,202 | |
| The Coding Train at Home (Kids Teach me Scratch!) | 2:42:27 | 22,604 | |
| 2.1 Simulating Forces: Gravity and Wind - The Nature of Code | 24:12 | 26,218 | |
| 1.6 Acceleration Vector - The Nature of Code | 10:44 | 15,438 | |
| 1.5 A Unit Vector (Normalize) - The Nature of Code | 14:15 | 13,267 | |
| 1.4 Static Functions - The Nature of Code | 9:36 | 17,307 | |
| 1.3 Random Vectors - The Nature of Code | 8:59 | 21,086 | |
| Coding Challenge #156: Peeking inside Pi | 30:39 | 40,968 | |
| Searching for Digits in Pi | 2:11:28 | 12,743 | |
| 1.2 Vector Math - The Nature of Code | 11:57 | 17,280 | |
| 1.1 What is a Vector? - The Nature of Code | 15:43 | 37,233 | |
| Introduction | 1:15 | 31,611 | |
| Welcome to The Nature of Code 2.0 in 2020 (p5.js!) | 4:37 | 24,189 | |
| Nature of Code Continued: Attraction and onto Chapter 3! | 2:53:37 | 10,106 | |
| Nature of Code Continued: Chapter 2, Forces! | 2:28:50 | 11,667 | |
| ml5.js: What is a Convolutional Neural Network Part 2 - Max Pooling | 24:00 | 16,283 | |
| ml5.js: What is a Convolutional Neural Network Part 1 - Filters | 28:40 | 26,008 | |
| Nature of Code Continued: Chapter 2, Forces! | 2:52:55 | 11,419 | |
| Nature of Code Continued: Forces! | 3:13:55 | 15,587 | |
| Coding in the Cabana 3: Hilbert Curve | 28:80 | 41,420 | |
| Nature of Code Reboot: Vectors! | 2:42:11 | 16,309 | |
| ml5.js: Train a Neural Network with Pixels as Input | 18:38 | 25,677 | |
| Convolutional Neural Networks with ml5.js | 3:14:50 | 12,333 | |
| ml5.js: Pose Regression with PoseNet and ml5.neuralNetwork() | 18:25 | 18,530 | |
| Convolutional Neural Networks with ml5.js | 4:00:25 | 13,783 | |
| ml5.js: Pose Classification with PoseNet and ml5.neuralNetwork() | 26:34 | 27,486 | |
| Happy 2020! | 3:52:53 | 13,591 | |
| ml5.js Pose Estimation with PoseNet | 14:25 | 31,136 | |
| ITP/IMA Winter Show 2019 | 17:51 | 10,640 | |
| Coding Challenge #155: Kaleidoscope Snowflake Design | 23:38 | 42,719 | |
| Processing Foundation Holiday Telethon | 4:48:25 | 12,973 | |
| Live Stream Archive: ITP Winter Show 2019 | 3:21:52 | 12,856 | |
| Classifying Poses with ml5.js Part 2 | 2:36:51 | 8,132 | |
| Classifying Poses with ml5.js | 2:53:50 | 10,647 | |
| Coding Challenge 154: Tic Tac Toe AI with Minimax Algorithm | 26:33 | 139,156 | |
| ml5: Neural Network Regression | 9:51 | 17,486 | |
| ml5: Save Neural Network Trained Model | 10:57 | 9,785 | |
| ml5.js: Save Neural Network Training Data | 12:46 | 13,127 | |
| Tic Tac Toe AI with Minimax | 2:48:29 | 25,428 | |
| ml5.js: Train Your Own Neural Network | 34:49 | 51,287 | |
| D3.js Cont'd with Shirley Wu | 1:17:12 | 10,253 | |
| Introduction to D3.js with Shirley Wu | 1:56:14 | 21,759 | |
| Teachable Machine 3: Sound Classifiication | 14:34 | 22,811 | |
| Live Stream #188: ml5.neuralNetwork | 2:56:37 | 16,378 | |
| Teachable Machine 2: Snake Game | 7:59 | 42,512 | |
| Teachable Machine 1: Image Classification | 20:20 | 52,673 | |
| Coding Challenge #153: Interactive Drawing with Machine Learning Model (SketchRNN) | 32:48 | 29,831 | |
| Coding in the Cabana 2: Collatz Conjecture | 23:80 | 53,423 | |
| Live Stream #187: Fractal #TeamTrees with Physics | 3:14:20 | 20,528 | |
| Coding Challenge #152: RDP Line Simplification Algorithm | 28:90 | 34,117 | |
| Live Stream #186: Interactive Drawing with SketchRNN | 2:36:32 | 12,962 | |
| Coding in the Cabana 1: Maurer Rose | 13:10 | 56,679 | |
| Live Stream #185: RDP Algorithm | 2:17:45 | 10,775 | |
| Live Stream #184: uNet and BodyPix with ml5.js | 2:27:70 | 11,519 | |
| Coding Challenge #151: Ukulele Tuner with Machine Learning Pitch Detection Model | 35:55 | 56,461 | |
| Live Stream #183: Brooklyn Studio, ml5.js Pitch Detection | 3:13:30 | 21,540 | |
| Coding Challenge #150: AI Rainbows with Runway and p5.js | 23:13 | 51,229 | |
| Introduction to Runway: Machine Learning for Creators (Part 2) | 23:59 | 34,164 | |
| Introduction to Runway: Machine Learning for Creators (Part 1) | 17:40 | 34,876 | |
| Behind the Scenes of The Coding Train: How I Livestream | 11:10 | 82,857 | |
| How to add your contribution to The Coding Train website | 12:40 | 14,022 | |
| Coding Challenge #149: Tic Tac Toe | 24:10 | 168,791 | |
| How to Make a Processing (Java) Library Part 2 | 21:59 | 13,444 | |
| How to Make a Processing (Java) Library Part 1 | 17:16 | 24,024 | |
| Live Stream #182: Introduction to RunwayML | 2:45:40 | 14,048 | |
| -10x engineering | 0:30 | 93,271 | |
| Coding Challenge #148: Gift Wrapping Algorithm (Convex Hull) | 22:28 | 77,130 | |
| Setup: Everything you need to begin the course Working with Data and APIs in JavaScript | 3:54 | 18,849 | |
| Working with Data and APIs in JavaScript | 1:56 | 23,828 | |
| ITP/IMA Spring Show 2019 | 19:11 | 8,379 | |
| 3.5 Web Application Deployment (Glitch and Heroku) - Working with Data and APIs in JavaScript | 19:10 | 25,709 | |
| Live Stream #181: Processing Library + Tic Tac Toe | 2:58:34 | 16,850 | |
| Live Stream #180: Processing Java Library, Starting Computational Geometry Challenges | 3:23:53 | 17,579 | |
| ml5.js: Sound Classification | 14:24 | 16,478 | |
| Coding Challenge #147: Chrome Dinosaur Game (with Speech Commands machine learning model!) | 27:35 | 103,964 | |
| 3.4 Hiding API Keys with Environment Variables (dotenv) and Pushing Code to GitHub | 11:51 | 25,668 | |
| 3.3 Mapping Database Entries with Leaflet.js - Working with Data and APIs in JavaScript | 13:47 | 13,303 | |
| 3.2 Open Air Quality API in Node.js - Working with Data and APIs in JavaScript | 16:50 | 13,005 | |
| Live Stream #179: Chrome Dinosaur Game + ml5 Speech Commands Model | 2:38:40 | 20,754 | |
| 3.1 API calls from Node.js (Weather data from Dark Sky) - Working with Data and APIs in JavaScript | 17:50 | 17,732 | |
| 2.7 Project Wrap-up: Accessibility and Design - Working with Data and APIs in JavaScript | 11:47 | 13,996 | |
| 2.6 Saving Images and Base64 Encoding - Working with Data and APIs in JavaScript | 12:52 | 19,807 | |
| 2.5 Database Query - Working with Data and APIs in JavaScript | 13:50 | 19,428 | |
| 2.4 Saving to a Database - Working with Data and APIs in JavaScript | 11:18 | 22,928 | |
| 2.3 HTTP Post Request with fetch() - Working with Data and APIs in JavaScript | 16:20 | 28,874 | |
| 2.2 Geolocation Web API - Working with Data and APIs in JavaScript | 15:40 | 28,604 | |
| 2.1 Server-side with Node.js - Working with Data and APIs in JavaScript | 18:18 | 40,575 | |
| 1.6 Refreshing Data with setInterval() - Working with Data and APIs in JavaScript | 8:44 | 18,441 | |
| 1.5 Mapping Geolocation with Leaflet.js - Working with Data and APIs in JavaScript | 15:22 | 36,070 | |
| 1.4: JSON - Working with Data and APIs in JavaScript | 16:22 | 46,365 | |
| ITP IMA Spring Show | 2:28:52 | 11,725 | |
| 1.3: Graphing with Chart.js - Working With Data & APIs in JavaScript | 19:46 | 46,453 | |
| 1.2 Tabular Data - Working With Data & APIs in JavaScript | 17:15 | 32,110 | |
| 1.1: fetch() - Working With Data & APIs in JavaScript | 15:39 | 61,378 | |
| Live Stream #178: Neuroevolution Steering Vehicles | 4:04:49 | 38,860 | |
| Coding Challenge #146: Rendering Raycasting | 28:52 | 68,902 | |
| Coding Challenge #145: 2D Raycasting | 36:20 | 140,682 | |
| Live Stream #177: 2D Ray Casting and Ray Marching | 4:11:22 | 45,337 | |
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