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Last Update: 3/5/2024

  1. Linear Algebra — Gilbert Strang
  2. Linear Algebra Done Right — Sheldon Axler
  3. Death — Shelly Kagan
  4. Introduction to Matrix Methods — Stephen Boyd
  5. Matrix Methods — Gilbert Strang
  6. The Fourier Transforms and Its Applications — Brad Osgood
  7. Introduction to Hilbert Spaces — James Cook
  8. Mathematics of Finance — Donald G. Saari
  9. Introduction to Probability — John Tsitsiklis, Patrick Jaillet
  10. Probability — Joe Blitzstein
  11. Probability Theory — Claudio Landim
  12. Probability Theory — Todd Kemp
  13. Probabilistic Systems Analysis and Applied Probability — John Tsitsiklis
  14. Natural Language Processing with Deep Learning — Christopher Manning
  15. Natural Language Processing — Greg Durrett
  16. Natural Language Processing — Anna Potapenko
  17. Data Visualization — Ali Ghodsi
  18. Applied Statistics — Kimberly Brehm
  19. Statistics 101 — Brandon Foltz
  20. Statistics for Applications — Philippe Rigollet
  21. Statistical Rethinking — Richard McElreath
  22. Probabilistic Machine Learning — Philipp Hennig
  23. Mathematics for Machine Learning — Ulrike von Luxburg
  24. Introduction to CS and Programming using Python — Ana Bell
  25. Reinforcement Learning — Emma Brunskill
  26. Deep Learning — Andrew Ng
  27. Deep Learning — Sergey Levine
  28. Deep Reinforcement Learning — Sergey Levine
  29. Topics in Mathematics with Applications in Finance
  30. Finance Theory I — Andrew Lo
  31. Numerical Methods for Mean-Field Games — Mathieu Laurière
  32. Discrete Stochastic Processes — Robert Gallager
  33. A Course in the History of Mathematics — N. J. Wildberger
  34. Real Analysis — Casey Rodriguez
  35. Real Analysis — Ole Christensen
  36. Real Analysis — Julian P. Großmann
  37. Real Analysis — Francis Su
  38. Introduction to Functional Analysis — Casey Rodriguez
  39. Functional Analysis — Julian P. Großmann
  40. Functional Analysis — Claudio Landim
  41. Measure Theory — Claudio Landim
  42. Measure and Integration — Inder K. Rana
  43. Calculus of Complex Variables — Herbert Gross
  44. Topology — Bruno Zimmerman
  45. Topology & Geometry — Tadashi Tokieda
  46. Convex Optimization — Stephen Boyd
  47. Vector Calculus and Partial Differential Equations — Steve Brunton
  48. Mathematical Physics — Carl Bender
  49. Fundamentals of Physics — Ramamurti Shankar
  50. Particle Physics: Basic Concepts — Leonard Susskind
  51. Introduction to Statistical Mechanics — Yvan Velenik
  52. Introduction to Linear Dynamical Systems — Stephen Boyd
  53. Optimization Methods for Machine Learning — Julius Pfrommer
  54. Analysis of a Complex Kind— Petra Bonfert-Taylor
  55. Algebraic Topology — Pierre Albin
  56. Algebraic Topology — Norman J. Wildberger
  57. Quantum Physics I — Allan Adams
  58. Lectures on Quantum Theory — Frederic Schuller
  59. Lectures on Geometrical Anatomy of Theoretical Physics — Frederic Schuller
  60. Game Theory — Ben Polak
  61. Game Theory I — Matthew O. Jackson, Kevin Leyton-Brown, Yoav Shoham
  62. Game Theory II — Matthew O. Jackson, Kevin Leyton-Brown, Yoav Shoham
  63. Mathematics for Economists I — Semih Koray
  64. Principles of Microeconomics (2010) — Jonathan Gruber
  65. Principles of Microeconomics (2018) — Jonathan Gruber
  66. Blockchain and Money — Gary Gensler
  67. Financial Theory — John Geanakoplos
  68. College Algebra — Richard Delaware
  69. Single Variable Calculus — David Jerison
  70. Calculus I — Richard Delaware
  71. Differential Equations — Gilbert Strang, Cleve Moler
  72. Differential Equations — Haynes Miller, Arthur Mattuck
  73. Differential Equations — Herbert Gross
  74. Signals and Systems — Alan V. Oppenheim
  75. Principles of Digital Communications — Robert Gallager
  76. Logic and Computation — Shai Ben-David
  77. Computational Science & Engineering — Gilbert Strang
  78. Mathematical Methods for Engineers — Gilbert Strang
  79. Machine Learning — Nando de Freitas
  80. Intuition for the Algorithms of Machine Learning — Cynthia Rudin
  81. Introduction to Programming with MATLAB — Mike Fitzpatrick
  82. Mathematics for Computer Science — Tom Leighton
  83. Introduction to Computer Science and Programming in Python — Ana Bell
  84. Introduction to Probability For Data Science — Stanley Chan
  85. Introduction to Statistical Learning — Robert Tibshirani, Trevor Hastie
  86. Statistical Machine Learning — Ulrike von Luxburg
  87. Introduction to Deep Learning — Alexander Amini, Ava Soleimany
  88. Deep Learning — Mitesh M. Khapra
  89. Deep Learning — Yann LeCun, Alfredo Canziani
  90. Reinforcement Learning — Hado van Hasselt
  91. Machine Learning — Stanley Chan
  92. Reinforcement Learning — Pascal Poupart
  93. Intro to Machine Learning — Pascal Poupart
  94. Foundations of Machine Learning — David S. Rosenberg
  95. Machine Learning Theory — Shai Ben-David
  96. Artificial Intelligence — Patrick Winston
  97. Artificial Intelligence: Principles and Techniques — Percy Liang
  98. Introduction to Reinforcement Learning — David Silver
  99. Machine Learning Course — Yaser Abu-Mostafa
  100. Machine Learning — Andrew Ng
  101. Neural Networks for Machine Learning — Geoffrey Hinton
  102. Machine Learning — Micheal J. Pyrcz
  103. Introduction to Computational Thinking and Data Science — John Guttag
  104. Introduction to Tensor Calculus — Pavel Grinfeld
  105. Data Analysis for Social Scientists — Esther Duflo, Sara Ellison
  106. Evolution, Ecology and Behaviour — Stephen Stearns
  107. Evolution and Medicine — Stephen Stearns
  108. Foundations of Modern Social Theory — Iván Szelényi
  109. European Intellectual History since Nietzsche — Marci Shore
  110. Justice — Michael Sandel
  111. A History of Philosophy — Arthur Holmes
  112. General Philosophy — Peter Millican
  113. A Brief History of Humankind — Yuval Noah Harari
  114. Lectures on Philosophy — Rick Roderick
  115. The Analytic Tradition — Daniel Bonevac
  116. Ideas of the Twentieth Century — Daniel Bonevac
  117. Introduction to Psychology — John Gabrieli
  118. Human Behavioral Biology — Robert Sapolsky
  119. Introduction to Political Philosophy — Steven B. Smith
  120. Introduction to Psychology — Paul Bloom
  121. Power and Politics in Today’s World — Ian Shapiro
  122. The Early Middle Ages — Paul Freedman 
  123. European Civilization — John Merriman
  124. History of the World to 1500 CE — Richard Bulliet
  125. Ancient Greek History — Donald Kagan
  126. Introduction to the Theory of Literature — Paul Fry
  127. Roman Architecture — Diana E. E. Kleiner
  128. Dante in Translation — Guiseppe Mazzotta
  129. Listening to Music — Craig Wright
  130. The Film Experience — David Thorburn