Books > Subjects > Computers & Technology > Computer Science > AI & Machine Learning > Computer Vision & Pattern Recognition
R 1,801
Transformers for Machine Learning: A Deep Dive (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
R 3,600
Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)
R 2,151
Learning OpenCV 4 Computer Vision with Python 3: Get to grips with tools, techniques, and algorithms for computer vision and machine learning, 3rd Edition
R 2,036
Semantic Modeling for Data: Avoiding Pitfalls and Breaking Dilemmas
R 1,390
Pattern Classification
R 3,335
CCTV: From Light to Pixels
R 1,172
Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
R 1,133
Programming Computer Vision with Python: Tools and algorithms for analyzing images
R 1,849
LLM Design Patterns: A Practical Guide to Building Robust and Efficient AI Systems
R 811
Artificial Intelligence: An Illustrated History: From Medieval Robots to Neural Networks (Union Square & Co. Illustrated Histories)
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