Artificial Intelligence: Reinforcement Learning in Python. Complete guide to Reinforcement Learning, with Stock Trading and Online Advertising Applications
When people talk about artificial intelligence, they usually don’t mean supervised and unsupervised machine learning. These tasks are pretty trivial compared to what we think of AIs doing – playing chess and Go, driving cars, and beating video games at a superhuman level.
Reinforcement learning has recently become popular for doing all of that and more.
Artificial Intelligence: Reinforcement Learning in Python Description
Contents
Requirements
-
Calculus (derivatives)
-
Probability / Markov Models
-
Numpy, Matplotlib
-
Beneficial ave experience with at least a few supervised machine learning methods
-
Gradient descent
-
Good object-oriented programming skills
Learn Python Programming Masterclass
What you’ll learn
-
Apply gradient-based supervised machine learning methods to reinforcement learning
-
Understand reinforcement learning on a technical level
-
Understand the relationship between reinforcement learning and psychology
-
Implement 17 different reinforcement learning algorithms
Who this course is for:
- Anyone who wants to learn about artificial intelligence, data science, machine learning, and deep learning
- Both students and professionals
Artificial Intelligence: Reinforcement Learning in Python Free Download
Content From: https://www.udemy.com/course/artificial-intelligence-reinforcement-learning-in-python/
