Python Machine Learning By Example: http://
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Python Machine Learning Book Covers Data Preparation and Image Classification
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Beginner’s Guide Builds and Fine-Tunes a Small Language Model
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"How to Build and Fine‐Tune a Small Language Model: A Step-by-Step Guide for Beginners, Researchers, and Non-Programmers" Available at http://
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Deep Learning Math Workbook Uses 300 Puzzles to Teach Foundations
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Hands-on Mathematics, Linear Algebra, and Machine Learning … "Deep Learning Math Workbook" … with 300 puzzles — by @ProfTomYeh at http://
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Probability and Statistics Foundations for Machine Learning
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Before Machine Learning [Volume 3] – Probability and Statistics for AI: The Fundamental Mathematics for Data Science and Artificial Intelligence [400 pages] Get the book here: http://
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Scikit-Learn Cookbook Covers Preprocessing and Machine Learning Workflows
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Scikit-learn Cookbook — 80+ recipes for Machine Learning in Python with scikit-learn [3rd Edition]: http://
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Outlier Detection Methods for Temporal Data Streams
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Classic text on Outlier Detection in Temporal Data: http://
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A Foundational Reinforcement Learning Textbook
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Reinforcement Learning foundational book (2nd edition of this classic mathematical textbook): http://
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A Claude Guide Covers Agents, Prompting and Automation
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Master CLAUDE AI in 3 days — from beginner to advanced user in agentic AI, prompt engineering, and real automation: https://
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Quantum Computing Guide Adds Quantum Machine Learning Topics
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[New! 2nd Edition] Quantum Computing for Programmers: http://
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Transfer Learning Uses Existing Models and Data for New Tasks
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TRANSFER LEARNING book [390 pages]: http://
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"Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to