Machine Learning
Explore machine learning across domains — from foundational algorithms and model evaluation to sport-specific prediction systems and market forecasting. Covers supervised learning, unsupervised methods, feature engineering, and production ML pipelines.
18 chapters across 9 books
Supervised Learning
AI Engineering
Unsupervised Learning
AI Engineering
Model Evaluation
AI Engineering
Feature Engineering
AI Engineering
Feature Engineering for Betting
Sports Betting
Advanced Regression & Classification
Sports Betting
Model Evaluation for Betting
Sports Betting
ML Betting Pipeline
Sports Betting
Machine Learning for Football
College Football Analytics
Intro to Predictive Analytics
College Football Analytics
ML Prediction Models
NFL Analytics
Machine Learning in Basketball
Basketball Analytics
Machine Learning for Soccer
Soccer Analytics
ML for Market Prediction
Prediction Markets
Ensemble Methods
Prediction Markets
Building AI-Powered Apps
Vibe Coding
Decision Trees & Random Forests
Intro to Data Science
ML Workflow
Intro to Data Science
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Python for Data Science 8 chapters Neural Networks & Deep Learning 9 chapters Probability & Statistics 15 chapters Sports Betting Analytics 16 chapters Natural Language Processing (NLP) 12 chapters Data Visualization 9 chapters Sports Analytics 14 chapters Predictive Modeling & Forecasting 17 chapters Computer Vision 8 chapters AI-Assisted Software Development 12 chapters AI Agents & Autonomous Systems 6 chapters Software Engineering Best Practices 11 chapters AI Ethics & Governance 18 chapters Cybersecurity & Ethical Hacking 17 chapters Applied Psychology 16 chapters Python for Business 15 chapters Working with AI Tools 12 chapters Creator Economy & Digital Entrepreneurship 11 chapters Data Governance & Privacy 12 chapters Conflict Resolution & Communication 9 chapters Fan Studies & Internet Culture 11 chapters Luck, Probability & Decision-Making 10 chapters Home Systems & Maintenance 9 chapters Regulatory Technology & Compliance 10 chapters AI & Machine Learning for Business 10 chapters COBOL Programming 10 chapters Political Analytics & Data 10 chapters Propaganda & Disinformation 9 chapters Psychology of Attraction & Relationships 9 chapters AI Literacy & Education 13 chapters Computer Science Fundamentals 10 chapters Surveillance, Privacy & Digital Rights 12 chapters Algorithms & Their Impact on Society 8 chapters Learning Science & Metacognition 20 chapters Systems Thinking & Mental Models 20 chapters Mainframe & COBOL Programming 14 chapters Database Systems 13 chapters Statistics & Probability 14 chapters Data Science Fundamentals 14 chapters Cognitive Science & Critical Thinking 13 chapters Learning Science & Study Skills 14 chapters Quantum Physics & Wave Mechanics 12 chapters Appalachian Studies 12 chapters Epistemic Failure & How Knowledge Goes Wrong 13 chapters