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20705357
Deep Reinforcement Learning in Action
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Nº de artículo:
20705357
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Detalles de producto
- Written by Alexander Zai, a Machine Learning Engineer at Amazon AI.
- Co-authored by Brandon Brown, a Machine Learning and Data Analysis blogger at outlace.com.
- Provides clear teaching on difficult topics for newcomers.
| Publisher | Manning Publications |
| Publication date | March 31, 2020 |
| Edition | First Edition |
| Language | English |
| Print length | 384 pages |
| ISBN-10 | 1617295434 |
| ISBN-13 | 978-1617295430 |
| Item Weight | 1.45 pounds (660 grams) |
| Dimensions | 7.38 x 0.96 x 9.25 inches (18.7 x 2.4 x 23.5 cm) |
| Part of series | In Action |
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Deep Reinforcement Learning in Action
About This Item
Product Title: Deep Reinforcement Learning in Action 1st Edition Are you ready to explore the exciting world of deep reinforcement learning? Look no further than "Deep Reinforcement Learning in Action 1st Edition," written by esteemed authors Alexander Zai and Brandon Brown. This comprehensive guide, packed with practical examples and expert insights, is a must-have for anyone interested in harnessing the power of deep reinforcement learning in the field of e-commerce. Deep reinforcement learning is a cutting-edge field that combines the power of artificial intelligence and machine learning to enable systems to learn and make decisions on their own through trial and error. With its ability to optimize strategies and improve performance, deep reinforcement learning has revolutionized various industries, including e-commerce. In this book, Zai and Brown take you on a journey through the fundamentals of deep reinforcement learning, all the way to advanced techniques and applications specifically tailored for e-commerce.
Whether you're new to the field or an experienced practitioner, this book provides valuable insights and practical guidance for implementing deep reinforcement learning algorithms in an e-commerce setting. Discover how deep reinforcement learning can be used to enhance personalized recommendations, optimize pricing strategies, improve customer engagement, optimize supply chain operations, and even detect fraudulent activities in the world of e-commerce. The authors provide a step-by-step approach to implementing these strategies, ensuring that readers can apply what they learn to their own e-commerce businesses. With a focus on hands-on learning, this book showcases popular deep reinforcement learning frameworks such as MXNet, which powers a suite of AWS machine learning products. By following the examples and exercises provided, readers can gain a solid understanding of these frameworks and confidently implement deep reinforcement learning algorithms in their own e-commerce systems. Whether you're a business owner looking to stay ahead of the competition or a data scientist eager to explore new frontiers in machine learning, "Deep Reinforcement Learning in Action 1st Edition" is an essential resource.
Don't miss out on the opportunity to leverage the power of deep reinforcement learning to drive success in the world of e-commerce. Order your copy today and unlock the potential of this game-changing technology for your business.
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ventajas
- Clear explanations of concepts
- Practical implementation examples
- Engaging writing style
- Comprehensive coverage of topics
Contras
- Some advanced topics are brief.
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