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

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

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Send me your questions and coding challenges!: https://github.com/CodingTrain/Rainbow-Topics

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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: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
For an Intro to Programming using p5.js: https://www.youtube.com/playlist?list=PLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA

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Видео 3.1: Introduction to Session 3 - What is Machine Learning? канала The Coding Train