Artificial Intelligence: Reinforcement Learning in Python

Artificial Intelligence: Reinforcement Learning in Python

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

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

Google Drive (Public)

Content From: https://www.udemy.com/course/artificial-intelligence-reinforcement-learning-in-python/

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