Machine Learning Refined — Foundations, Algorithms, and Applications (with 100 in-depth coding exercises in Python): http://
amzn.to/3EblXVx
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@kirkdborne
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Machine Learning Refined book with 100 Python coding exercises
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Super Study Guide for Transformers and Large Language Models
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Super Study Guide: Transformers & Large Language Models: http://
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541-page Deep Learning PDF eBook and 68 Python Coding Exercises
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Understanding Deep Learning — 541-page PDF eBook and 68 coding exercises with Python code notebooks that cover all the topics in the book: http://
udlbook.github.io/udlbook/ …or buy the book here: http://
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Graph Machine Learning 2nd Edition with PyTorch Geometric and DGL
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2nd Edition at http://
amzn.to/45Y3LyI Graph Machine Learning — the latest advancements in graph data to build robust machine learning algorithms. 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼: Master new graph ML techniques through updated examples using PyTorch Geometric and Deep Graph Library -

Book on LLMs for Production with Prompting, Fine-Tuning, and RAG
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See this >> "Building LLMs for Production: Enhancing LLM Abilities and Reliability with Prompting, Fine-Tuning, and RAG" >> at http://
amzn.to/411Utz5 by Louis-François Bouchard @Whats_AI Covers:
LLM Fundamentals, Architecture, & LLMs in Practice Prompting & Frameworks -

Pragmatic Machine Learning with Python: Deploy ML Models in Production
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"Pragmatic Machine Learning with Python: Learn How to Deploy Machine Learning Models in Production" Get it here: http://
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Mastering NLProc from Foundations to LLMs for Business Problems
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Mastering NLProc from Foundations to LLMs — Apply Advanced NLP Techniques to Solve Real World Business Problems: http://
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Architecting AI Software Systems: Integrating AI with Traditional Architectures
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"Architecting AI Software Systems: Crafting robust and scalable AI systems for modern software development" at http://
amzn.to/4oMi9Ag v/ @PacktDataML 𝓚𝓮𝔂 𝓕𝓮𝓪𝓽𝓾𝓻𝓮𝓼:
Learn to integrate AI with traditional software architectures, enabling architects to design -

Download 244-Page PDF Introduction to Neural Networks
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Download 244-page PDF “Introduction to Neural Networks” at https://
dkriesel.com/en/science/neu
ral_networks
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#DataScience #AI #MachineLearning #ML #Mathematics #Calculus #DataScientist -

309-page PDF eBook on Machine Learning and Mathematics
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[Download 309-page PDF eBook] "Patterns, Predictions, and Actions: A Story About Machine Learning" http://
arxiv.org/abs/2102.05242
…sharpen your Probability, Calculus, and Linear Algebra knowledge with this!
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#DataScience #AI #DeepLearning #ML #DataScientist #Mathematics