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Machine Learning 4-in-1 AI Masterclass: (ML, SML, UML & RL)  eBooks & eLearning

Posted by lucky_aut at Feb. 9, 2025
Machine Learning 4-in-1 AI Masterclass: (ML, SML, UML & RL)

Machine Learning 4-in-1 AI Masterclass: (ML, SML, UML & RL)
Published 2/2025
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 21h 54m | Size: 26.2 GB

Supervised, Unsupervised & Reinforcement Machine Learning explained with practical business use cases & AI applications
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Practical Intro To Reinforcement Learning Using Robotics  eBooks & eLearning

Posted by BlackDove at Feb. 25, 2022
Practical Intro To Reinforcement Learning Using Robotics

Practical Intro To Reinforcement Learning Using Robotics
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.47 GB | Duration: 2h 40m


Learn to build robots that can automatically learn to behave well in their environments without explicit instructions.
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Deep Reinforcement Learning and Its Industrial Use Cases: AI for Real-World Applications  eBooks & eLearning

Posted by Free butterfly at Jan. 12, 2025
Deep Reinforcement Learning and Its Industrial Use Cases: AI for Real-World Applications

Deep Reinforcement Learning and Its Industrial Use Cases: AI for Real-World Applications by Shubham Mahajan, Pethuru Raj, Amit Kant Pandit
English | October 22, 2024 | ISBN: 1394272553 | 416 pages | MOBI | 11 Mb
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Foundations of Reinforcement Learning with Applications in Finance  eBooks & eLearning

Posted by Free butterfly at Jan. 2, 2024
Foundations of Reinforcement Learning with Applications in Finance

Foundations of Reinforcement Learning with Applications in Finance by Ashwin Rao, Tikhon Jelvis
English | December 16, 2022 | ISBN: 1032124121 | 522 pages | MOBI | 35 Mb
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Statistical Reinforcement Learning: Modern Machine Learning Approaches (Repost)  eBooks & eLearning

Posted by step778 at Aug. 2, 2020
Statistical Reinforcement Learning: Modern Machine Learning Approaches (Repost)

Masashi Sugiyama, "Statistical Reinforcement Learning: Modern Machine Learning Approaches"
English | 2015 | pages: 573 | ISBN: 1439856893 | PDF | 11,5 mb
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Reinforcement Learning: Teaching AI to Make Decisions  eBooks & eLearning

Posted by naag at June 6, 2025
Reinforcement Learning: Teaching AI to Make Decisions

Reinforcement Learning: Teaching AI to Make Decisions (AI from Scratch : Step-by-Step Guide to Mastering Artificial Intelligence Book 11)
English | 2025 | ASIN: B0DWSBZ6RN | 330 pages | Epub | 7.97 MB
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Statistical Reinforcement Learning: Modern Machine Learning Approaches  eBooks & eLearning

Posted by ksveta6 at May 1, 2015
Statistical Reinforcement Learning: Modern Machine Learning Approaches

Statistical Reinforcement Learning: Modern Machine Learning Approaches by Masashi Sugiyama
2015 | ISBN: 1439856893 | English | 206 pages | True PDF | 7 MB
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Statistical Reinforcement Learning: Modern Machine Learning Approaches  eBooks & eLearning

Posted by AlenMiler at Jan. 28, 2019
Statistical Reinforcement Learning: Modern Machine Learning Approaches

Statistical Reinforcement Learning: Modern Machine Learning Approaches (Chapman & Hall/Crc Machine Learning & Pattern Recognition) by Masashi Sugiyama
English | Mar. 16, 2015 | ISBN: 1439856893 | 206 Pages | PDF | 7.88 MB
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Cognitive Analytics and Reinforcement Learning: Theories, Techniques and Applications  eBooks & eLearning

Posted by Free butterfly at Jan. 12, 2025
Cognitive Analytics and Reinforcement Learning: Theories, Techniques and Applications

Cognitive Analytics and Reinforcement Learning: Theories, Techniques and Applications by Elakkiya R., Subramaniyaswamy V.
English | April 16, 2024 | ISBN: 1394214030 | 384 pages | MOBI | 10 Mb
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"Deep Learning and Reinforcement Learning" ed. by Jucheng Yang, et al.  eBooks & eLearning

Posted by exLib at Nov. 30, 2023
"Deep Learning and Reinforcement Learning" ed. by Jucheng Yang, et al.

"Deep Learning and Reinforcement Learning" ed. by Jucheng Yang, Yarui Chen, Tingting Zhao, Yuan Wang, Xuran Pan, Andries Engelbrecht
ITexLi | 2023 | ISBN: 1803569514 9781803569512 1803569506 9781803569505 1803569522 9781803569529 | 110 pages | PDF | 14 MB

This book examines the latest research achievements of these technologies and provides a reference for researchers, engineers, students, and other interested readers. It helps readers understand the opportunities and challenges faced by deep learning and reinforcement learning and how to address them, thus improving the research and application capabilities of these technologies in related fields.
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