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AI & Machine Learning
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Computer Vision & Pattern Recognition
R 1,416
Dive into Deep Learning
R 2,554
Information Theory, Inference and Learning Algorithms
R 785
Deep Learning (The MIT Press Essential Knowledge series)
R 2,772
Modern Computer Vision with PyTorch - Second Edition: A practical roadmap from deep learning fundamentals to advanced applications and Generative AI
R 2,607
Understanding Machine Learning: From Theory to Algorithms
R 2,596
Computer Vision: Algorithms and Applications (Texts in Computer Science)
R 3,856
Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
R 1,996
Demystifying the Power of Large Language Models: A deep dive into large language models
R 3,985
Multiple View Geometry in Computer Vision
R 1,974
Machine Learning Engineering
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