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AI & Machine Learning
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Machine Theory
R 1,741
Programming PyTorch for Deep Learning: Creating and Deploying Deep Learning Applications
R 5,123
Statistical Reinforcement Learning: Modern Machine Learning Approaches (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
R 1,583
Machine Learning Interviews: Kickstart Your Machine Learning and Data Career
R 1,588
Graph Theory (Graduate Texts in Mathematics, 173)
R 2,759
Machine Learning: An Algorithmic Perspective, Second Edition (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
R 2,906
Learning Systems Thinking: Essential Nonlinear Skills and Practices for Software Professionals
R 1,284
Introduction to Automata Theory, Languages, and Computation
R 3,833
Hands-On Generative AI with Transformers and Diffusion Models
R 2,432
Low-Code AI: A Practical Project-Driven Introduction to Machine Learning
R 2,400
Deep Learning for the Life Sciences: Applying Deep Learning to Genomics, Microscopy, Drug Discovery, and More
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