Crash Course In Machine Learning Part 2 – What Is Supervised Learning

In part 2 of a crash course in machine learning, we get an overview of three big algorithms for supervised learning.

Linear regression for calculating continuous variables

Logistic regression and neural networks for calculating discrete outputs

Learn how to turn deep reinforcement learning papers into code:

Deep Q Learning:

Actor Critic Methods:

Curiosity Driven Deep Reinforcement Learning

Natural Language Processing from First Principles: Learning Fundamentals

Here are some books / courses I recommend (affiliate links):
Grokking Deep Learning in Motion:
Grokking Deep Learning:
Grokking Deep Reinforcement Learning:

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