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Artikal br.:
102366111
Deep Reinforcement Learning
Artikal br.:
102366111
BAM 157
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Deep reinforcement learning takes its inspiration from the fields of biology and psychology, offering remarkable advancements in artificial intelligence.
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What Stands Out
Comprehensive Coverage
This edition offers an in-depth exploration of Deep Reinforcement Learning, covering essential theories and practical applications, making it suitable for both beginners and advanced researchers in the field.
Latest Research
Includes the most recent advancements and findings in Deep Reinforcement Learning, ensuring readers are equipped with contemporary knowledge and techniques to apply in real-world scenarios.
Practical Examples
Features numerous practical examples and case studies, enhancing understanding and enabling learners to implement complex concepts effectively, which is crucial for mastering this innovative technology.
Detalji o proizvodu
| Publisher | Springer |
| Publication date | June 12, 2022 |
| Edition | 2022nd |
| Language | English |
| Print length | 421 pages |
| ISBN-10 | 9811906378 |
| ISBN-13 | 978-9811906374 |
| Item Weight | 1.42 pounds (640 grams) |
| Dimensions | 6.1 x 0.96 x 9.25 inches (15.5 x 2.4 x 23.5 cm) |
Who Should Buy?
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Students in AI
Ideal for students pursuing artificial intelligence degrees, covering theory and practical applications of deep reinforcement learning.
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Data Scientists
Data scientists looking to enhance their knowledge in machine learning and reinforcement learning can greatly benefit from this book.
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Researchers
Researchers seeking a comprehensive guide to deep reinforcement learning methodologies can use this edition as a valuable resource.
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Beginners in ML
This book assumes prior knowledge of machine learning concepts, making it less suitable for complete beginners.
OPIS PROIZVODA
Deep Reinforcement Learning
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Karakteristike i prednosti
- Explore the transformative potential of deep reinforcement learning.
- Learn techniques inspired by biology and psychology for advanced AI solutions.
- Achieve impressive results in various fields like gaming, robotics, and autonomous driving.
- Understand the complexities through a graduate-level overview.
- Covers everything from basic algorithms to advanced topics.
- Stay ahead with knowledge recognized by educational institutions worldwide.
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