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Item #:
10958606
Reinforcement Learning, second edition: An Introduction (Adaptive Computation and Machine Learning series)
87% of respondents would recommend this to a friend
Item #:
10958606
ZAR 2338
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What Stands Out
Comprehensive Content
This second edition offers an in-depth exploration of reinforcement learning, combining theoretical insights with practical applications, making it an essential resource for students and professionals in the field.
Updated Research
Includes the latest advancements in reinforcement learning techniques and methodologies, ensuring readers are equipped with current trends and best practices necessary for effective implementation in real-world scenarios.
Adaptive Learning
Designed for varied audiences, from beginners to advanced practitioners, this book presents concepts in an accessible manner, promoting understanding and enabling readers to apply reinforcement learning principles across diverse domains.
Product Details
| Package Weight | 3.0 Pound |
Who Should Buy?
-
Students and Academics
Ideal for those studying advanced topics in machine learning and seeking a solid foundation in reinforcement learning concepts.
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Data Scientists
Useful for data scientists looking to expand their skill set with practical reinforcement learning applications and techniques.
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Researchers
Valuable for researchers interested in the latest developments and theories in reinforcement learning within computational intelligence.
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Beginners
Not suitable for complete beginners as it assumes prior knowledge of machine learning and programming concepts.
Product Description
Reinforcement Learning, second edition: An Introduction (Adaptive Computation and Machine Learning series)
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Intelligence & Semantics Editorial Review
Reinforcement Learning, second edition: An Introduction is an essential resource for those delving into adaptive computation and machine learning principles. This second edition not only covers fundamental concepts but also emphasizes practical applications and real-world scenarios in reinforcement learning. Weighing 3.0 pounds, this comprehensive book serves as a valuable guide to both students and professionals, providing insights into advanced techniques and strategies within the field. Readers have appreciated the clear explanations and logical structure of the content, making it accessible for newcomers while still being informative for seasoned experts.
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Pros
- Comprehensive overview of reinforcement learning principles
- Clear explanations and logical structure
- Ideal for both students and professionals
- Covers practical applications and real-world scenarios
Cons
- A bit weighty for casual reading
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