3.1: Introduction to Session 3 - What is Machine Learning?

From the creator

This video is the introduction to Session 3 of the ITP "Intelligence and Learning" course (https://github.com/shiffman/NOC-S17-2-Intelligence-Learning/tree/master/week3-classification-regression). Session 3 introduces the concept of"Machine Learning". I discuss some machine learning applications and define classification and regression. For all videos covered in Session 3: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6bCN8LKrcMa6zF4FPtXyXYj Support this channel on Patreon: https://patreon.com/codingtrain To buy Coding Train merchandise: https://www.designbyhumans.com/shop/codingtrain/ Send me your questions and coding challenges!: https://github.com/CodingTrain/Rainbow-Topics Contact: Twitter: https://twitter.com/shiffman The Coding Train website: http://thecodingtrain.com/ Links discussed in this video: Session 3 of Intelligence and Learning: https://github.com/shiffman/NOC-S17-2-Intelligence-Learning/tree/master/week3-classification-regression Nature of Code: http://natureofcode.com/ Programming Collective Intelligence Book: http://amzn.to/2qIj48o Andrew Ng's Machine Learning on Coursera: https://www.coursera.org/learn/machine-learning Rebecca Fiebrink's Machine Learning for Musicians and Artists on Kadenze: https://www.kadenze.com/courses/machine-learning-for-musicians-and-artists/info Source Code for the all Video Lessons: https://github.com/CodingTrain/Rainbow-Code p5.js: https://p5js.org/ Processing: https://processing.org For More Coding Challenges: ht

Published 2017-05-08 · Watch on YouTube ↗
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