Welcome to /"A Beginner's Guide to Machine Learning in JavaScript/"! In this series, I will explain the concepts behind machine learning using the ml5.js library. . Code: https://thecodingtrain.com/tracks/ml5js-beginners-guide/ml5/0-introduction/1-introduction

Next: https://youtu.be/yNkAuWz5lnY?listPLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y
All: https://www.youtube.com/playlist?listPLRqwX-V7Uu6YPSwT06y_AEYTqIwbeam3y

References:
ml5.js: https://ml5js.org/
ml5 on Adjacent: https://itp.nyu.edu/adjacent/issue-3/ml5-friendly-open-source-machine-learning-library-for-the-web/
Biography of Red Burns: https://itp.nyu.edu/redburnsfund/bio.php
Intelligence and Learning Class: https://github.com/nature-of-code/NOC-S17-2-Intelligence-Learning/tree/master/week3-classification-regression

Video:
TensorFlow.js color classifier: https://www.youtube.com/playlist?listPLRqwX-V7Uu6bmMRCIoTi72aNWHo7epX4L
TensorFlow.js playlist: https://www.youtube.com/playlist?listPLRqwX-V7Uu6YIeVA3dNxbR9PYj4wV31oQ

Time stamp:
0:00 Introduction
2:00 What is machine learning?
6:00 What is ML5?
11:45 am Tensorflow
14:30 Neural networks, pre-trained models and data sets
16:50 MobilNet
18:06 ML5.org
20:34 Attributions

Edited by Mathieu Blanchette
Animations by Jason Heglund
Music by Epidemic Sound

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Programming Challenges: https://www.youtube.com/playlist?listPLRqwX-V7Uu6ZiZxtDDRCi6uhfTH4FilpH
Introduction to programming: https://www.youtube.com/playlist?listPLRqwX-V7Uu6Zy51Q-x9tMWIv9cueOFTFA

p5.js: https://p5js.org
p5.js web editor: https://editor.p5js.org/
Processing: https://processing.org

Code of Conduct: https://github.com/CodingTrain/Code-of-Conduct

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#machinelearningml #ml5js #tensorflow #p5js #ml5js #tensorflowjs

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