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Add GenAI, LangChain, and MCP programming books (#12088)

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* Add GenAI, LangChain, and MCP programming books

- Add 4 books to Artificial Intelligence section
- Add 1 book to Machine Learning section
- All books focus on modern AI development
- Maintains alphabetical ordering

* Add GenAI, LangChain, and MCP programming books

- Add 4 books to Artificial Intelligence section
- Add 1 book to Machine Learning section
- All books focus on modern AI development
- Maintains alphabetical ordering

* Add GenAI, LangChain, and MCP programming books

- Add 4 books to Artificial Intelligence section
- Add 1 book to Machine Learning section
- All books focus on modern AI development
- Maintains alphabetical ordering

* Removed ebooks that required emails/payment and preferred adding publisher websites
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@ -144,10 +144,12 @@ Books that cover a specific programming language can be found in the [BY PROGRAM
* [Artificial Intelligence: Foundations of Computational Agents (2010), 1st Edition](https://artint.info/aifca1e.html) - David L. Poole, Alan K. Mackworth @ Cambridge University Press (HTML)
* [Artificial Intelligence: Foundations of Computational Agents (2017), 2nd Edition](https://artint.info) - David L. Poole, Alan K. Mackworth @ Cambridge University Press (HTML, Slides)
* [Clever Algorithms Nature-Inspired Programming Recipes](https://bjpcjp.github.io/pdfs/ruby/Clever-Algorithms.pdf) - Jason Brownlee (PDF) (CC BY-NC-SA)
* [Generative AI in Higher Education: The ChatGPT Effect](https://www.taylorfrancis.com/books/oa-mono/10.4324/9781003459026/generative-ai-higher-education-cecilia-ka-yuk-chan-tom-colloton) - Cecilia Ka Yuk Chan, Tom Colloton (PDF) (CC BY)
* [Getting Started with Artificial Intelligence , 2nd Edition](https://www.ibm.com/downloads/cas/OJ6WX73V) - Tom Markiewicz, Josh Zheng (PDF)
* [Graph Representational Learning Book](https://www.cs.mcgill.ca/~wlh/grl_book/) - William L. Hamilton
* [Introduction to Autonomous Robots](https://github.com/correll/Introduction-to-Autonomous-Robots/releases) - Nikolaus Correll (PDF) (CC BY-NC-ND)
* [Machine Learning For Dummies®, IBM Limited Edition](https://www.ibm.com/downloads/cas/GB8ZMQZ3) - Daniel Kirsch, Judith Hurwitz (PDF)
* [Mastering Generative AI and Prompt Engineering: A Practical Guide for Data Scientists](https://datasciencehorizons.com/pub/Mastering_Generative_AI_Prompt_Engineering_Data_Science_Horizons_v2.pdf) - Data Science Horizons (PDF)
* [On the Path to AI: Law’s prophecies and the conceptual foundations of the machine learning age](https://link.springer.com/book/10.1007/978-3-030-43582-0) - Thomas D. Grant, Damon J. Wischik (PDF, EPUB)
* [Paradigms of Artificial Intelligence Programming: Case Studies in Common Lisp](https://github.com/norvig/paip-lisp) - Peter Norvig
* [Probabilistic Programming & Bayesian Methods for Hackers](https://camdavidsonpilon.github.io/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers/) - Cam Davidson-Pilon (HTML, Jupyter Notebook)