AI at MIT (2010/2015): Part 1 – Introduction

AI at MIT (2010/2015): Part 1 – Introduction

Massachusetts Institute of Technology (MIT) hosts their entire 2010 course on artificial intelligence / machine learning by Professor Patrick Winston on YouTube. Although some parts seem already kind of dated seven years later, the videos on several evolving topics (e.g., Neural Networks) have been updated in the fall of 2015. The tutorial assignments you can find at the course website. Requirements for the course include experience with Python programming and an understanding of search algorithms (depth-first, breadth-first, uniform-cost, A*), basic probability, state estimation, the chain rule, partial derivatives, and dot products.

Below is the first, introductory lecture, which provides a short introduction to the history and concept of artificial intelligence:
AI is about algorithms enabled by constraints exposed by representations that support models targeted at loops that tie together thinking, perception and action.

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