Regularization Part 1: Ridge (L2) Regression

Ridge Regression is a neat little way to ensure you don't overfit your training data - essentially, you are desensitizing your model to the training data. It can also help you solve unsolvable equations, and if that isn't bad to the bone, I don't know what is. This StatQuest follows up on the...

Intermediate - 20 min - AI & Data - StatQuest with Josh Starmer

The full course: Learn Machine Learning Foundations free

What you'll need

Laptop stand: Screen at eye level for long study sessions.
Noise-cancelling headphones: Focus through long video lessons.
Second monitor: Video on one screen, practice on the other.
Wireless keyboard and mouse: Comfortable for hours of typing.

Books

Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by Aurélien Géron - View on Amazon
The Hundred-Page Machine Learning Book by Andriy Burkov - View on Amazon
An Introduction to Statistical Learning by Gareth James - View on Amazon
Introduction to Machine Learning with Python by Andreas C. Mueller - View on Amazon
The Alignment Problem by Brian Christian - View on Amazon
Machine learning by Kevin P. Murphy - View on Amazon

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