Stanford CS229 Machine Learning Lecture 1 🚀

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/ai

Listen to the first lecture in Andrew Ng's machine learning course. This course provides a broad introduction to machine learning and statistical pattern recognition. Learn about both supervised and unsupervised learning as well as learning theory, reinforcement learning and control. Explore recent applications of machine learning and design and develop algorithms for machines.

Andrew Ng is an Adjunct Professor of Computer Science at Stanford University. View more about Andrew on his website: https://www.andrewng.org/

To follow along with the course schedule and syllabus, visit:
http://cs229.stanford.edu/syllabus-autumn2018.html

0:00 Introduction
05:21 Teaching team introductions
06:42 Goals for the course and the state of machine learning across research and industry
10:09 Prerequisites for the course
11:53 Homework, and a note about the Stanford honor code
16:57 Overview of the class project
25:57 Questions

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