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
Probability / Markov Models
Beneficial ave experience with at least a few supervised machine learning methods
Good object-oriented programming skills
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