Classics

The first chapter of 3Blue1Brown's Essence of Linear Algebra series, introducing vectors with animated geometric visuals. It begins a series that builds intuition for linear algebra from the basics.

The first lecture of Andrew Ng's Stanford CS229 Machine Learning course, giving an overview of the course. It introduces supervised and unsupervised learning, learning theory and reinforcement learning.

The first video of 3Blue1Brown's Essence of Calculus series, which builds toward integrals, derivatives, and the fundamental theorem of calculus from a simple geometry question. It aims to make viewers feel they could have invented calculus themselves.

The first lecture of David Silver's reinforcement learning course, introducing the field and its basic concepts. The course follows the Sutton and Barto textbook.

A five-minute preview of 3Blue1Brown's Essence of Linear Algebra series, which uses animation to build geometric intuition for topics from a standard linear algebra course.

The first part of Welch Labs' series on imaginary numbers, presenting them as the natural extension of the number line into two dimensions. It covers the history and the math with strong visuals.

The first lecture of N J Wildberger's History of Mathematics course, starting with Pythagoras' theorem and following Stillwell's text. It emphasizes the flow of ideas over proofs.

The first lecture of Caltech's CS 156 Machine Learning course by Yaser Abu-Mostafa, introducing the learning problem and supervised, unsupervised and reinforcement learning. It is one of 18 lectures in the Learning from Data course.

The first video in a 55-part series by Michel van Biezen that introduces the Kalman filter and builds from the rationale through algebraic examples to the full matrix treatment. The videos are short, blackboard-style lectures.

The first 3.5 hours of Tony Alicea's Udemy course on JavaScript's inner workings, covering topics such as first-class functions, closures, prototypal inheritance and how the language behaves under the hood.

First session of MIT 15.401 Finance Theory I (Fall 2008) taught by Andrew Lo, giving a course overview and introducing core finance concepts. The course ran during the 2007-08 financial crisis.

First of an 18-part lecture series by engineer Dan Gelbart on building prototypes. The series covers practical mechanical design and fabrication of precision machines.

First lecture of MIT 6.00, an introductory computer science course taught in Python by Eric Grimson and John Guttag. It covers the goals of the course, what computation is, and data types, operators and variables.

The introduction to MangoJelly's beginner course for FreeCAD 1.0. The course teaches solid modeling with the Part Design, Sketcher and Part workbenches.

The opening lecture of Ian Shapiro's Yale course Power and Politics in Today's World, which examines political dynamics and institutions over the past quarter century, including inequality, declining unions and new forms of authoritarianism.

The first part of Google's Python Class, taught by Nick Parlante, introducing the language and its strings. It is aimed at people with some programming familiarity and comes with exercises.

The first part of Freya Holmer's three-part, nearly four-hour lecture on shader coding for game devs in Unity. It covers what shaders are, vertex and fragment shaders, interpolators, data types, blending and textures.

The first of an eight-part ScienceClic series building general relativity, covering worldlines, proper time and coordinate systems with animated visualizations.

Lesson 1 of fast.ai's Practical Deep Learning for Coders, taught by Jeremy Howard. It takes coders from running code in a Jupyter notebook straight into training a real image model.

The first episode of Caltech's The Mechanical Universe, a 52-part introductory university physics series. David Goodstein introduces ideas from Copernicus to Newton, linking the physics of the heavens and the earth with computer animation.

Course outline for Stanford's online GNSS course, introducing how GPS works and the many uses of satellite navigation. The series pairs short lectures with backyard experiments using smartphones.

The first lesson of Martin Shkreli's introductory investing and finance course, running about two and a half hours. His related tutorials cover reading 10-K filings and building DCF models.

The first episode of a long live-coding series in which Immo Landwerth builds the Minsk compiler for a small language in C#. It starts with a basic expression evaluator and builds toward a full language.

The first lecture of Stanford's CS231n Winter 2016 course on convolutional neural networks for visual recognition, introducing the course and the historical context of computer vision.