A Gentle Introduction to Machine Learning @statquest
A Gentle Introduction to Machine Learning  @statquest
Uploaded November 2018 | Updated September 2026, 1 week ago
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: thesosa.org

Here's the link to the video about the bias/variance tradeoff:
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: youtu.be/fSytzGwwBVw

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

If you'd like to support StatQuest, please consider...

Patreon: patreon.com/statquest
...or...
YouTube Membership: youtube.com/channel/UCtYLUTtgS3k1Fg4y5tAhLbw/join

...buying one of my books, a study guide, a t-shirt or hoodie, or a song from the StatQuest store...
statquest.org/statquest-store

...or just donating to StatQuest!
paypal.me/statquest

Lastly, if you want to keep up with me as I research and create new StatQuests, follow me on twitter:
twitter.com/joshuastarmer

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


#statquest #ML
A Gentle Introduction to Machine LearningGaussian Naive Bayes, Clearly Explained!!!p-hacking: What it is and how to avoid it!Neural Networks Part 8: Image Classification with Convolutional Neural Networks (CNNs)SaturdayNeural Networks Pt. 2: Backpropagation Main IdeasThe Binomial Distribution and Test, Clearly Explained!!!Deviance ResidualsHow to calculate p-valuesHuman Stories in AI: Tommy TangHandmade Pasta, Clearly Explained!!!Expected Values, Main Ideas!!!
StatQuest with Josh Starmer |

A Gentle Introduction to Machine Learning

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