by mahseema · Agent Tool · ★ 67
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AIBooks A curated list of books on Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Transformers. This list is intended for students, educators, researchers, and professionals who are interested in exploring the theoretical foundations, practical applications, and future directions of these technologies. Inspired by GoBooks Contents Artificial Intelligence & Machine Learning Deep Learning Transformers and Advanced Topics Practical Guides and Applications Artificial Intelligence & Machine Learning Artificial Intelligence: A Modern Approach by Stuart Russell and Peter Norvig A comprehensive text that provides an in-depth overview of the entire field of artificial intelligence, including various AI techniques and theories. Pattern Recognition and Machine Learning by Christopher M. Bishop This book offers an introduction to the field of pattern recognition and machine learning, aimed at advanced undergraduates and graduate students. [Machine Learning: A Probabilistic Perspective](https://www.amazon.com/Machine-Learning-Probabilistic-Perspective-Computation/dp
| Stars | 67 |
| Forks | 4 |
| Category | Agent Tool |
| Quality Score | 27/100 |
| Last Updated | 2025-08-03 |
| Created | 2023-08-31 |
| Est. Tokens | ~5k |
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aibooks is Curated List of AI, ML and Deep Learning books. It is categorized as a Agent Tool with 67 GitHub stars.
You can find installation instructions and usage details in the aibooks GitHub repository at github.com/mahseema/aibooks. The project has 67 stars and 4 forks, indicating an active community.
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