Table of Contents
Recommended Reads
- Antifragile: Things That Gain From Disorder - Nassim Taleb
- Chaos: Making a New Science - James Gleick
- Dark Pools: The Rise of the Machine Traders and the Rigging of the U.S. Stock Market - Scott Patterson
- Flash Boys - Michael Lewis
- Fooled by Randomness - Nassim Taleb
- Genius: The Life and Science of Richard Feynman - James Gleick
- Ghost in the Wires - Kevin Mitnick
- Going Infinite - Michael Lewis
- Just for Fun - Linus Torvalds
- Liar’s Poker - Michael Lewis
- Life 3.0: Being Human in the Age of AI - Max Tegmark
- Market Wizards (Series) - Jack Schwager
- Masters of Doom: How Two Guys Created an Empire and Transformed Pop Culture - David Kushner
- Our Mathematical Universe - Max Tegmark
- Permanent Record - Edward Snowden
- Surely You’re Joking Mr. Feynman - Richard Feynman
- The Big Short - Michael Lewis
- The Black Hole War - Leonard Susskind
- The Black Swan: The Impact of the Highly Improbable - Nassim Taleb
- The Information: A History, a Theory, a Flood - James Gleick
- The Pleasure of Finding Things Out - Richard Feynman
- The Quants - Scott Patterson
- Thinking Fast and Slow - Daniel Kahneman
- Toward an AI Physicist for Unsupervised Learning - Tailin Wu, Max Tegmark
- What Do You Care What Other People Think? - Richard Feynman
Physics
Classical and Analytical Mechanics
Literature
- An Introduction to Mechanics - Daniel Kleppner, Robert Kolenkow
- Classical Mechanics - Herbert Goldstein, Charles Poole, John Safko
- Classical Mechanics - Tom Kibble, Frank Berkshire
- Course of Theoretical Physics Volume 1: Mechanics - Lev Landau, Evgeny Lifshitz
- Feynman Lectures on Physics Volume 1 - Richard Feynman
- University Physics - Hugh Young, Roger Freedman
Online Courses and Lecture Series
Electromagnetism
Literature
- Classical Electrodynamics - John David Jackson
- Feynman Lectures on Physics Volume II - Richard Feynman
- Introduction to Electrodynamics - David J. Griffiths
- Theory of Electromagnetic Fields - Andrzej Wolski
- University Physics - Hugh Young, Roger Freedman
Online Courses and Lecture Series
Quantum Physics
Literature
Online Courses and Lecture Series
Statistical Physics
Literature
- Fundamentals of Statistical and Thermal Physics - Frederick Reif
- Statistical Mechanics - Kerson Huang
- Statistical Physics of Particles - Mehran Kardar
- Statistical Mechanics - R. K. Pathria, Paul Beale
- Thermodynamics and Statistical Mechanics - Walter Greiner, Ludwig Neise, Horst Stöcker
Online Courses and Lecture Series
Other Notable Lecture Series
Mathematics
Literature
- A First Course in Probability - Sheldon Ross
- Calculus - James Stewart
- Complex Analysis - Lars Ahlfors
- Convex Optimization - Stephen Boyd, Lieven Vandenberghe
- Differential Equations, Dynamical Systems, and an Introduction to Chaos - Morris Hirsch, Stephen Smale, Robert L. Devaney
- Differential Equations with Historical Applications - George Simmons
- Fourier Transform for Pedestrians - Tilman Butz
- Inside Interesting Integrals - Paul Nahin
- Introduction to Smooth Manifolds - John Lee
- Introduction to Functional Analysis - Erwin Kreyszig
- Linear Algebra Done Right - Sheldon Axler
- Mathematical Methods for Physics and Engineering - Ken Riley, Michael Hobson, Stephen Bence
- Principles of Mathematical Analysis - Walter Rudin
- Probability Theory: The Logic of Science - E. T. Jaynes
- Stochastic Differential Equations - Bernt Oksendal
Online Courses and Lecture Series
Computer/Data Science and Machine Learning
Literature
- Artificial Intelligence: A Modern Approach - Stuart Russell, Peter Norvig
- Clean Code - Robert Martin
- Deep Learning - Ian Goodfellow, Yoshua Bengio, Aaron Courville
- Effective Computation in Physics - Anthony Scopatz, Kathryn Huff
- Elements of Information Theory - Thomas Cover, Joy Thomas
- Foundations of Data Science - John Hopcroft, Ravindran Kannan
- Introduction to Algorithms - Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein
- Machine Learning: A Probabilistic Perspective - Kevin P. Murphy
- Pattern Recognition and Machine Learning - Christopher M. Bishop
- Practical Vim: Edit Text at the Speed of Thought - Drew Neil
- Probabilistic Machine Learning: An Introduction - Kevin P. Murphy
- Probabilistic Machine Learning: Advanced Topics - Kevin P. Murphy
- Stanford Data Science Handbook
Online Courses and Lecture Series
- Deep Learning Specialization - Andrew Ng
- fast.ai - Jeremy Howard
- Machine Learning - Andrew Ng
- MIT 6.001 Introduction to Computer Science and Programming in Python - Ana Bell, Eric Grimson, John Guttag
- MIT 6.002 Introduction to Computational Thinking and Data Science - Ana Bell, Eric Grimson, John Guttag
- MIT 6.006 Introduction to Algorithms - Erik Demaine
- MIT 6.S099 Artificial General Intelligence - Lex Fridman
- MIT 6.S191 Introduction to Deep Learning - Alexander Amini, Ava Soleimany
- MITx Data Analysis: Statistical Modeling and Computation in Applications - Stafanie Jegelka, Caroline Uhler, Karene Chu
- MITx Machine Learning with Python: From Linear Models to Deep Learning - Regina Barzilay, Tommi Jaakkola, Karene Chu
- Stanford CS 330: Deep Multi-Task and Meta Learning - Chelsea Finn
- SciPy 2019, 2020, 2021, 2022, 2023
(great for learning about new libraries and features)
- JuliaCon 2019, 2020, 2021, 2022, 2023 (great for learning about new libraries and features)
Finance
Literature
- Advances in Financial Machine Learning - Marcos Lopez de Prado
- Analysis of Financial Time Series - Ruey Tsay
- Modern Computational Finance - Antoine Savine
- Options, Futures and Other Derivatives - John Hull
- Time Series Analysis and Its Applications - Robert Shumway, David Stoffer
- The Concepts and Practice of Mathematical Finance - Mark Joshi
Courses
Decentralized Finance (DeFi)
Links