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ChatGPT and the Future of AI: The Deep Language Revolution
R 941
ChatGPT and the Future of AI: The Deep Language Revolution

ChatGPT Made Simple: How Anyone Can Harness AI To Streamline Their Work, Study & Everyday Tasks To Boost Productivity & Maintain Competitive Edge By Mastering Prompt Engineering
R 974
ChatGPT Made Simple: How Anyone Can Harness AI To Streamline Their Work, Study & Everyday Tasks To Boost Productivity & Maintain Competitive Edge By Mastering Prompt Engineering

The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do
R 1,072
The Myth of Artificial Intelligence: Why Computers Can’t Think the Way We Do

AI for Kids: Learn, Create and Master ChatGPT: Interactive Artificial Intelligence Workbook Packed with Fun Activities
R 1,114
AI for Kids: Learn, Create and Master ChatGPT: Interactive Artificial Intelligence Workbook Packed with Fun Activities

50 Algorithms Every Programmer Should Know: Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography
R 1,720
50 Algorithms Every Programmer Should Know: Tackle computer science challenges with classic to modern algorithms in machine learning, software design, data systems, and cryptography

Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI
R 1,877
Machine Learning Q and AI: 30 Essential Questions and Answers on Machine Learning and AI

Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs
R 2,422
Generative AI with LangChain: Build large language model (LLM) apps with Python, ChatGPT, and other LLMs

The AI Value Playbook: How to make AI work in the real world
R 1,780
The AI Value Playbook: How to make AI work in the real world

AI Made Simple: A Beginner’s Guide to Generative Intelligence (2nd Edition)
R 1,000
AI Made Simple: A Beginner’s Guide to Generative Intelligence (2nd Edition)

Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)
R 2,922
Probabilistic Graphical Models: Principles and Techniques (Adaptive Computation and Machine Learning series)

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