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Deep Reinforcement Learning in Action
Summary Humans learn best from feedback—we are encouraged to take actions that lead to positive results while deterred by decisions with negative consequences. This reinforcement process can be applied to computer programs allowing them to solve more complex problems that classical programming cannot. Deep Reinforcement Learning in Action teaches you the fundamental concepts and terminology of deep reinforcement learning, along with the practical skills and techniques you’ll need to implement it into your own projects. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Deep reinforcement learning AI systems ra...
Grokking Deep Reinforcement Learning
Grokking Deep Reinforcement Learning uses engaging exercises to teach you how to build deep learning systems. This book combines annotated Python code with intuitive explanations to explore DRL techniques. You’ll see how algorithms function and learn to develop your own DRL agents using evaluative feedback. Summary We all learn through trial and error. We avoid the things that cause us to experience pain and failure. We embrace and build on the things that give us reward and success. This common pattern is the foundation of deep reinforcement learning: building machine learning systems that explore and learn based on the responses of the environment. Grokking Deep Reinforcement Learning in...
Sport in the USSR.
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The Winning Trainer
This book has more ideas on how to add involvement in learning than any one trainer could ever use. Your students and workshop participants will increase their understanding and retention when you design training activities using 'The Winning Trainer'. This updated and expanded edition is richer than ever before. It provides: * more than 100 ready-made handouts, learning instruments, and worksheets... all you do is photocopy * numerous examples, model dialogues, and sample answers * hundreds of exercises, games, puzzles, role plays, icebreakers, and other group-in-action techniques * samples of each technique and ways to effectively use them * advice on subjects such as unwilling participant...
Biography Index
A cumulative index to biographical material in books and magazines.
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The Interior
Issues for Jan 12, 1888-Jan. 1889 include monthly "Magazine supplement".
Digital Forensics in the Era of Artificial Intelligence
Digital forensics plays a crucial role in identifying, analysing, and presenting cyber threats as evidence in a court of law. Artificial intelligence, particularly machine learning and deep learning, enables automation of the digital investigation process. This book provides an in-depth look at the fundamental and advanced methods in digital forensics. It also discusses how machine learning and deep learning algorithms can be used to detect and investigate cybercrimes. This book demonstrates digital forensics and cyber-investigating techniques with real-world applications. It examines hard disk analytics and style architectures, including Master Boot Record and GUID Partition Table as part of the investigative process. It also covers cyberattack analysis in Windows, Linux, and network systems using virtual machines in real-world scenarios. Digital Forensics in the Era of Artificial Intelligence will be helpful for those interested in digital forensics and using machine learning techniques in the investigation of cyberattacks and the detection of evidence in cybercrimes.
