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AI & Machine Learning
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Machine Theory
R 4,459
Introduction to the Theory of Computation
R 1,003
Machine Learning Pocket Reference: Working with Structured Data in Python
R 2,619
Practical Simulations for Machine Learning: Using Synthetic Data for AI
R 4,524
Machine Learning: A Probabilistic Perspective (Adaptive Computation and Machine Learning series)
R 1,121
AI Ethics: Status of the Present, Ethical Dilemmas, and Frameworks for the Practical Mind
R 4,700
Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)
R 3,410
Information Geometry and Its Applications (Applied Mathematical Sciences, 194)
R 1,848
Transformers for Machine Learning: A Deep Dive (Chapman & Hall/CRC Machine Learning & Pattern Recognition)
R 676
Artificial Intelligence Technology: Upending the World (Technology 101 Book 11)
R 1,288
Artificial Intelligence for IoT Cookbook: Over 70 recipes for building AI solutions for smart homes, industrial IoT, and smart cities
90
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