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Machine Theory
R 6,035
Analysis of Boolean Functions
R 2,642
Introduction to Probability for Computing
R 1,547
Dancing with Qubits: How quantum computing works and how it can change the world
R 5,435
Foundations of Reinforcement Learning with Applications in Finance (Chapman & Hall/CRC Mathematics and Artificial Intelligence Series)
R 1,202
AI Talent Sourcing: How to Use AI ChatGPT Prompts to Automate Talent Sourcing
R 1,623
Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow
R 2,067
Hands-On Explainable AI (XAI) with Python: Interpret, visualize, explain, and integrate reliable AI for fair, secure, and trustworthy AI apps
R 2,152
Feature Engineering and Selection (Chapman & Hall/CRC Data Science Series)
R 1,200
Introduction to Self-Driving Vehicle Technology (Chapman & Hall/CRC Artificial Intelligence and Robotics Series)
R 3,585
Modern Graph Theory Algorithms with Python: Harness the power of graph algorithms and real-world network applications using Python
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