Learning Science & Study Skills
Evidence-based study skills grounded in learning science — from spaced repetition and retrieval practice to metacognitive monitoring, motivation, deep processing, and building a personal learning operating system.
14 chapters across 3 books
The Forgetting Curve
Metacognition
Learning Strategies That Work
Metacognition
Desirable Difficulties
Metacognition
Deep vs. Shallow Processing
Metacognition
Metacognitive Monitoring
Metacognition
Self-Testing Strategies
Metacognition
Motivation & Procrastination
Metacognition
Reading to Learn
Metacognition
Test-Taking Strategies
Metacognition
Your Learning Operating System
Metacognition
Goals and Motivation
Applied Psychology
Habit Formation
Applied Psychology
The Einstellung Effect
How Humans Get Stuck
Teaching Epistemic Humility
How Humans Get Stuck
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Machine Learning 18 chapters 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 Quantum Physics & Wave Mechanics 12 chapters Appalachian Studies 12 chapters Epistemic Failure & How Knowledge Goes Wrong 13 chapters