Machine Learning (MLE)

AI & Data

• But what is a convolution? (23 min, 3Blue1Brown, Beginner)
• But what is the Fourier Transform? A visual introduction. (20 min, 3Blue1Brown, Beginner)
• How (and why) to take a logarithm of an image (45 min, 3Blue1Brown, Intermediate)
• Simulating an epidemic (23 min, 3Blue1Brown, Intermediate)
• But what are Hamming codes? The origin of error correction (20 min, 3Blue1Brown, Intermediate)
• Divergence and curl: The language of Maxwell's equations, fluid flow, and more (16 min, 3Blue1Brown, Intermediate)
• Solving Wordle using information theory (31 min, 3Blue1Brown, Intermediate)
• Taylor series | Chapter 11, Essence of calculus (22 min, 3Blue1Brown, Intermediate)
• The essence of calculus (17 min, 3Blue1Brown, Intermediate)
• But what is a Laplace Transform? (35 min, 3Blue1Brown, Beginner)
• Harvard CS50’s Artificial Intelligence with Python – Full University Course (711 min, freeCodeCamp.org, Intermediate)
• Reinventing Entropy | Compression is Intelligence Part 1 (32 min, 3Blue1Brown, Intermediate)
• Bayes theorem, the geometry of changing beliefs (15 min, 3Blue1Brown, Intermediate)
• Oh, wait, actually the best Wordle opener is not “crane”… (11 min, 3Blue1Brown, Intermediate)
• The Physics of Euler's Formula | Laplace Transform Prelude (28 min, 3Blue1Brown, Intermediate)
• Why π is in the normal distribution (beyond integral tricks) (25 min, 3Blue1Brown, Intermediate)
• Binomial distributions | Probabilities of probabilities, part 1 (13 min, 3Blue1Brown, Intermediate)
• Differential equations, a tourist's guide | DE1 (27 min, 3Blue1Brown, Intermediate)
• How (and why) to raise e to the power of a matrix | DE6 (27 min, 3Blue1Brown, Intermediate)
• The simpler quadratic formula | Ep. 1 Lockdown live math (52 min, 3Blue1Brown, Intermediate)
• Convolutions | Why X+Y in probability is a beautiful mess (27 min, 3Blue1Brown, Intermediate)
• Exponential growth and epidemics (9 min, 3Blue1Brown, Intermediate)
• The medical test paradox, and redesigning Bayes' rule (21 min, 3Blue1Brown, Intermediate)
• Visualizing the 4d numbers Quaternions (32 min, 3Blue1Brown, Intermediate)
• Why Laplace transforms are so useful (23 min, 3Blue1Brown, Intermediate)
• Abstract vector spaces | Chapter 16, Essence of linear algebra (17 min, 3Blue1Brown, Intermediate)
• Linear transformations and matrices | Chapter 3, Essence of linear algebra (11 min, 3Blue1Brown, Intermediate)
• Machine Learning Course for Beginners (592 min, freeCodeCamp.org, Beginner)
• Python Machine Learning Tutorial (Data Science) (50 min, Programming with Mosh, Intermediate)
• The paradox of the derivative | Chapter 2, Essence of calculus (17 min, 3Blue1Brown, Intermediate)
• Why “probability of 0” does not mean “impossible” | Probabilities of probabilities, part 2 (10 min, 3Blue1Brown, Intermediate)
• Eigenvectors and eigenvalues | Chapter 14, Essence of linear algebra (17 min, 3Blue1Brown, Intermediate)
• Integration and the fundamental theorem of calculus | Chapter 8, Essence of calculus (21 min, 3Blue1Brown, Intermediate)
• The determinant | Chapter 6, Essence of linear algebra (10 min, 3Blue1Brown, Intermediate)
• The other way to visualize derivatives | Chapter 12, Essence of calculus (14 min, 3Blue1Brown, Intermediate)
• What's so special about Euler's number e? | Chapter 5, Essence of calculus (14 min, 3Blue1Brown, Intermediate)
• Entropy (for data science) Clearly Explained!!! (17 min, StatQuest with Josh Starmer, Intermediate)
• AI, Machine Learning, Deep Learning and Generative AI Explained (10 min, IBM Technology, Intermediate)
• AI Foundations Course – Python, Machine Learning, Deep Learning, Data Science (622 min, freeCodeCamp.org, Intermediate)
• Complete Statistics For Data Science In 6 hours By Krish Naik (329 min, Krish Naik, Intermediate)
• Derivative formulas through geometry | Chapter 3, Essence of calculus (18 min, 3Blue1Brown, Intermediate)
• Gradient Descent, Step-by-Step (24 min, StatQuest with Josh Starmer, Beginner)
• Matrix multiplication as composition | Chapter 4, Essence of linear algebra (10 min, 3Blue1Brown, Intermediate)
• Who cares about topology? (Old version) (17 min, 3Blue1Brown, Intermediate)
• Why slicing a cone gives an ellipse (beautiful proof) (13 min, 3Blue1Brown, Intermediate)
• Why this puzzle is impossible (20 min, 3Blue1Brown, Intermediate)
• A quick trick for computing eigenvalues | Chapter 15, Essence of linear algebra (13 min, 3Blue1Brown, Intermediate)
• But what is a partial differential equation? | DE2 (18 min, 3Blue1Brown, Beginner)
• But what is the Central Limit Theorem? (31 min, 3Blue1Brown, Beginner)
• But what is the Riemann zeta function? Visualizing analytic continuation (22 min, 3Blue1Brown, Beginner)
• Data Science Projects For Resume | Machine Learning Projects With Source Code (14 min, codebasics, Intermediate)
• Euler's formula with introductory group theory (24 min, 3Blue1Brown, Intermediate)
• Exploration & Epiphany | Guest video by Paul Dancstep (52 min, 3Blue1Brown, Intermediate)
• Gil Strang's Final 18.06 Linear Algebra Lecture (65 min, MIT OpenCourseWare, Intermediate)
• Inverse matrices, column space and null space | Chapter 7, Essence of linear algebra (12 min, 3Blue1Brown, Intermediate)
• Limits, L'Hôpital's rule, and epsilon delta definitions | Chapter 7, Essence of calculus (18 min, 3Blue1Brown, Intermediate)
• Machine Learning for Everybody – Full Course (234 min, freeCodeCamp.org, Intermediate)
• Python for Bioinformatics - Drug Discovery Using Machine Learning and Data Analysis (103 min, freeCodeCamp.org, Intermediate)
• Researchers thought this was a bug (Borwein integrals) (17 min, 3Blue1Brown, Intermediate)
• Some light quantum mechanics (with minutephysics) (22 min, 3Blue1Brown, Intermediate)