Artificial Intelligence: Reinforcement Learning in Python
Complete guide to Reinforcement Learning, with Stock Trading and Online Advertising Applications
What you’ll learn
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Apply gradient-based supervised machine learning methods to reinforcement learning
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Understand reinforcement learning on a technical level
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Understand the relationship between reinforcement learning and psychology
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Implement 17 different reinforcement learning algorithms
Requirements
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Calculus (derivatives)
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Probability / Markov Models
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Numpy, Matplotlib
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Beneficial to have experience with at least a few supervised machine learning methods
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Gradient descent
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Good object-oriented programming skills
Who this course is for:
- Anyone who wants to learn about artificial intelligence, data science, machine learning, and deep learning
- Both students and professionals
