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Books > 283155 > Subjects > 1000 > Computers & Technology > 5 > Computer Science > 3508 > AI & Machine Learning > Machine Theory

AI Engineering: Building Applications with Foundation Models
R 2,770
AI Engineering: Building Applications with Foundation Models

The Hundred-Page Machine Learning Book (The Hundred-Page Books)
R 1,898
The Hundred-Page Machine Learning Book (The Hundred-Page Books)

Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems
R 4,236
Hands-On Machine Learning with Scikit-Learn and PyTorch: Concepts, Tools, and Techniques to Build Intelligent Systems

The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI Systems
R 2,633
The AI Engineering Bible: The Complete and Up-to-Date Guide to Build, Develop and Scale Production Ready AI Systems

Gödel, Escher, Bach: An Eternal Golden Braid
R 1,161
Gödel, Escher, Bach: An Eternal Golden Braid

Deep Reinforcement Learning Hands-On: A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF
R 2,056
Deep Reinforcement Learning Hands-On: A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF

Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
R 2,197
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Designing Multi-Agent Systems: Principles, Patterns, and Implementation for AI Agents
R 2,643
Designing Multi-Agent Systems: Principles, Patterns, and Implementation for AI Agents

The 8-Page Paper That Changed AI Forever: How a Simple Idea Gave Birth to ChatGPT and Redefined How Machines Understand Language (Beyond Human: Inside the Great AI Power Shift Book 3)
R 723
The 8-Page Paper That Changed AI Forever: How a Simple Idea Gave Birth to ChatGPT and Redefined How Machines Understand Language (Beyond Human: Inside the Great AI Power Shift Book 3)

THE AI ENGINEERING BIBLE WORKBOOK: A Comprehensive Guide to Building Large Language Models (LLMs), RAG Applications, and Generative AI Agents
R 763
THE AI ENGINEERING BIBLE WORKBOOK: A Comprehensive Guide to Building Large Language Models (LLMs), RAG Applications, and Generative AI Agents

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