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Title: Hands-On Large Language Models: Language Understanding and Generation, Author: Jay Alammar
Title: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems, Author: Aur lien G ron
Title: Graph Algorithms the Fun Way: Powerful Algorithms Decoded, Not Oversimplified, Author: Jeremy Kubica
Title: Deep Learning: A Visual Approach, Author: Andrew Glassner
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Title: Cognitive Science: An Introduction to the Science of the Mind, Author: José Luis Bermúdez
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Title: Quick Start Guide to Large Language Models: Strategies and Best Practices for ChatGPT, Embeddings, Fine-Tuning, and Multimodal AI, Author: Sinan Ozdemir
Title: Essential Math for Data Science: Take Control of Your Data with Fundamental Linear Algebra, Probability, and Statistics, Author: Thomas Nield
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Title: Practical Deep Learning: A Python-Based Introduction, Author: Ronald T. Kneusel
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Title: Prompt Engineering for LLMs: The Art and Science of Building Large Language Model-Based Applications, Author: John Berryman
Title: Natural Language Processing with Transformers, Revised Edition, Author: Lewis Tunstall
Title: Pragmatic AI: An Introduction to Cloud-Based Machine Learning / Edition 1, Author: Noah Gift
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Title: Learning LangChain: Building AI and LLM Applications with LangChain and LangGraph, Author: Mayo Oshin

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