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For complete newbies (but with programming experience), I would recommend this UW Coursera course to get introduced to ML Basics: https://www.coursera.org/learn

For complete newbies (but with programming experience), I would recommend this UW Coursera course to get introduced to ML Basics: https://www.coursera.org/learn/ml-foundations https://www.coursera.org/learn/ml-foundations Early this year Apple acquired Turi for $200 million. It was founded by Carlos Guestrin, one of the professors who is teaching the course. We (Class Central) are also working on a six part Wirecutter style guide to learning Data Science online. Here is part 1: https://www.class-central.com/report/best-programming-courses-data-science/ https://www.class-central.com/report/best-programming-course... Feedback would be appreciated (on the format as well as content)!

tgokh 10y ago
I'm a huge fan of the rest of this Coursera specialization (or was, until they started charging to submit assignments for it mid-specialization, but I digress...) Carlos and Emily do a great job diving deeper than most other online courses into the math behind different algorithms without making the math too theoretical. I'm a grad student in engineering, so I wanted to understand not only how to run these algorithms but also how they work and these courses were great for learning in a mathematically rigorous but still approachable sort of way. The only criticism I've heard of this series is that it uses Turi/Dato/Graphlab instead of SciKit-Learn. I did the courses that exist so far using GraphLab, but I'm starting to redo the assignments using SciKit now so that I learn that toolkit as well.
- dhawalhs 10y ago
  I think they start charging after the second course. I am in the same boat as you. I am currently doing Udacity's Machine Learning Nanodegree. But I think I would have felt lost if I hadn't done the first two courses of that Coursera Specialization. Just started, but it seems that Pandas and SciKit-Learn are very similar to Dato/Graphlab from a usage perspective.

tgokh 10y ago

I'm a huge fan of the rest of this Coursera specialization (or was, until they started charging to submit assignments for it mid-specialization, but I digress...) Carlos and Emily do a great job diving deeper than most other online courses into the math behind different algorithms without making the math too theoretical. I'm a grad student in engineering, so I wanted to understand not only how to run these algorithms but also how they work and these courses were great for learning in a mathematically rigorous but still approachable sort of way. The only criticism I've heard of this series is that it uses Turi/Dato/Graphlab instead of SciKit-Learn. I did the courses that exist so far using GraphLab, but I'm starting to redo the assignments using SciKit now so that I learn that toolkit as well.

dhawalhs 10y ago
I think they start charging after the second course. I am in the same boat as you. I am currently doing Udacity's Machine Learning Nanodegree. But I think I would have felt lost if I hadn't done the first two courses of that Coursera Specialization. Just started, but it seems that Pandas and SciKit-Learn are very similar to Dato/Graphlab from a usage perspective.