Applying Reinforcement Learning on Real-World Data with Practical Examples in Python (Synthesis Lectures on Artificial Intelligence and Machine Learning)
by Philip Osborne, Kajal Singh, Matthew E. Taylor
Explore reinforcement learning through real-world data and practical Python examples. This volume presents an applied perspective on a key area of artificial intelligence and machine learning, making it a useful resource for readers seeking to connect reinforcement learning concepts with programming and data-driven work.
About This Book
Applying Reinforcement Learning on Real-World Data with Practical Examples in Python introduces reinforcement learning through a focus on real-world data and practical application.
The book combines reinforcement learning with Python examples, offering a hands-on perspective for readers interested in implementing concepts in code.
It is part of the Synthesis Lectures on Artificial Intelligence and Machine Learning series.
Written by Philip Osborne, Kajal Singh, and Matthew E. Taylor, this volume is suited to readers exploring artificial intelligence, machine learning, and applied programming.
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