Intro to Machine Learning: Simplified Guide 🤖

Machine Learning is one of those things that is chock full of hype and confusion terminology. In this StatQuest, we cut through all of that to get at the most basic ideas that make a foundation for the whole thing. These ideas are simple and easy to understand. After watching this StatQuest, you'll be ready to learn all kinds of new and exciting things about Machine Learning.

If you're interested in learning more about SoSA, here's the link: http://thesosa.org/

Here's the link to the video about the bias/variance tradeoff:
https://youtu.be/EuBBz3bI-aA

Here's the link to the video about cross-validation, aka the way to determine which samples go into your training set and which samples go into your testing set: https://youtu.be/fSytzGwwBVw

For a complete index of all the StatQuest videos, check out:
https://statquest.org/video-index/

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0:00 Awesome song and introduction
0:35 A silly example of classification
2:24 A silly example of regression
3:37 The Bias/Variance Tradeoff
8:15 Fancy machine learning
8:56 Evaluating the performances of a decision tree
11:12 Summary of concepts and main ideas


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