CS189 is UC Berkeley's introductory machine learning course, covering the statistical and algorithmic foundations of supervised and unsupervised learning. The course is offered through Berkeley's EECS department and is widely referenced as a structured introduction.

Commenters point to it as one of the good structured courses for getting started in machine learning, alongside Andrew Ng's course.

What commenters said (1)

1. Recommendsjps3592016in “Ask HN: How to get started with machine learning?”

   Get some background knowledge; I think with a topic like machine learning it's important to understand why certain algorithms work better than others on different kinds of data. I would recommend following a structured course. Andrew Ng's, or the UC berkley one are good. Tom Mitchell's Machine Learning book is a great intro too to supplement the online course of your choice.

   If you're a python dev, maybe download scikit-learn and see what kinds of things you can put together after a few lectures.

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