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Reinforcement Learning: Industrial Applications of Intelligent Agents

Name: Reinforcement Learning: Industrial Applications of Intelligent Agents
Brand: O'Reilly Media
Price: 1071000 VND
Availability: InStock
Rating: 4.2 (50 reviews)
ISBN: 9781098114831

Tác giả: Phil Winder Ph. D.

NXB: O'Reilly Media

4.2(50 đánh giá)

🏆Best Seller#23 in Machine Theory

1.071.000 ₫

Chi tiết sản phẩm

Nhà xuất bảnO'Reilly Media

Năm xuất bản2020

Ngôn ngữEnglish

Số trang405 trang

Loại bìaKindle

Kích thước7 x 0.75 x 9 inches

Trọng lượng2.31 pounds

Xếp hạng bán chạy

#169,698 in Books
#23 in Machine Theory
#29 in Business Intelligence Tools
#377 in Artificial Intelligence & Semantics

ISBN-101098114833

ISBN-139781098114831

ASIN1098114833

Mã CSIN1098114833

Về tác giả — Phil Winder Ph. D.

Follow authors to get new release updates, plus improved recommendations. Dr. Phil Winder is a multidisciplinary software engineer and data scientist. As the CEO of Winder.AI (https://winder.ai), an ML/RL/MLOps consultancy, he helps startups and enterprises improve their data-based processes, platforms, and products. Phil specializes in implementing production-grade cloud-native machine learning and was an early champion of the MLOps movement. More recently, Phil has authored a book on Reinforcement Learning (RL) (https://rl-book.com) which provides an in-depth introduction of industrial RL to engineers. He has thrilled thousands of engineers with his data science training courses in public, private, and on the O’Reilly online learning platform. Phil’s courses focus on using data science in industry and cover a wide range of hot yet practical topics, from cleaning data to deep reinforcement learning. He is a regular speaker and is active in the data science community. Phil holds a Ph.D. and M.Eng. in electronic engineering from the University of Hull and lives in Yorkshire, U.K., with his brewing equipment and family. Read more about this author Read less about this author Read more about this author Read less about this author

Xem tất cả sách của Phil Winder Ph. D. →

Đánh giá từ chuyên gia

About the Author
Dr. Phil Winder is a multidisciplinary Software Engineer and Data Scientist. As the CEO of Winder Research, a Cloud-Native Data Science consultancy based in the UK, he helps startups and enterprises utilise Data Science. Through a combination of consulting and development they are able to grow and scale their business by improving their products and platforms. For the past 5 years, Phil has taught thousands of Engineers about Data Science in his range of Data Science training courses at conferences, in public, in private and on the online Safari learning platform. In these courses Phil focuses on the practicalities of using Data Science in industry on a wide range of topics from cleaning data all the way through to deep reinforcement learning.

Editorial Review
For the past 5 years, Phil has taught thousands of Engineers about Data Science in his range of Data Science training courses at conferences, in public, in private and on the online Safari learning platform. In these courses Phil focuses on the practicalities of using Data Science in industry on a wide range of topics from cleaning data all the way through to deep reinforcement learning.

Cuốn sách Reinforcement Learning: Industrial Applications of Intelligent Agents do tác giả Phil Winder Ph. D. chắp bút, phát hành bởi O'Reilly Media, năm 2020, dày 405 trang thuộc thể loại Computers & Technology. Mã ISBN: 9781098114831.

Mô tả nội dung sách Reinforcement Learning: Industrial Applications of Intelligent Agents - Phil Winder Ph. D.

Thông tin sách: Reinforcement Learning: Industrial Applications of Intelligent Agents (Kindle, 405 trang) – O'Reilly Media, 2020. Ngôn ngữ: Tiếng Anh.

Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn by reinforcement and enable a machine to learn by itself.

Author Phil Winder of Winder Research covers everything from basic building blocks to state-of-the-art practices. You'll explore the current state of RL, focus on industrial applications, learn numerous algorithms, and benefit from dedicated chapters on deploying RL solutions to production. This is no cookbook; doesn't shy away from math and expects familiarity with ML.

Learn what RL is and how the algorithms help solve problems
Become grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learning
Dive deep into a range of value and policy gradient methods
Apply advanced RL solutions such as meta learning, hierarchical learning, multi-agent, and imitation learning
Understand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and more
Get practical examples through the accompanying website

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