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Machine Learning

Coursera · University of Washington · 3 HN points · 5 HN citations

This Specialization from leading researchers at the University of Washington introduces you to the exciting, high-demand field of Machine Learning. Through a series of practical case studies, you ...

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Hacker News Comments about Machine Learning

All the comments and stories posted to Hacker News that reference this course.
Dec 08, 2017 thawab on Turi Create simplifies the development of custom machine learning models
thank you apple. Is anyone from turi here? i can't find the notebooks and video tutorials that was hosted on your website, is it going to be released?

if your not familiar with graphlab, check the coursera link: https://www.coursera.org/specializations/machine-learning

Sep 16, 2016 sndean on Ask HN: Master vs. Udacity nanodegree
As a third, shorter (and cheaper) option I'd suggest the new Coursera ML course [0]. If you're short on money, they'll let you take the courses for free.

I don't know how expensive Master's degrees are in Barcelona, but GA Tech has a online Master's in CS for ~$500 per course [1], where you could focus on ML.

[0] https://www.coursera.org/specializations/machine-learning [1] https://www.omscs.gatech.edu/

Jun 22, 2016 TDL on How Google Is Remaking Itself for “Machine Learning First”
I'm sure others in this thread will have some good advice on the math front. You will want to be comfortable with statistics (as it seems you already are aware), but you will also want to be comfortable with linear algebra as well. Andrew Ng's course has a quick tutorial on linear algebra, you might also want to check codingthematrix.com. Khand Academy is a decent place for stats, probability, linear algebra, & calculus. I know there has been some criticism of K.A. in the past, but I think it's a good resource to get an intro level understanding of those topics.

As an intro to ML, I am a fan of Courseras ML specialization that is done by the University of Washington ( https://www.coursera.org/specializations/machine-learning ). It's free, except for the capstone, and the instructors do a good job of giving both theoretical & practical grounding in various aspects of ML.

I am sure others will have good suggestions as well. Good luck.

Apr 10, 2016 paukiatwee on Ask HN: Is it worth paying for a Coursera course?
I took:

1. Functional Programming Principles in Scala[1]

2. Machine Learning Specialization [2]

[1]: https://www.coursera.org/course/progfun [2]: https://www.coursera.org/specializations/machine-learning

Jan 17, 2016 reverius42 on An introduction to Machine Learning
I liked the UW Coursera class that gave a broad overview of these topics with some applications: https://www.coursera.org/learn/ml-foundations

It's part of a Machine Learning Specialization on Coursera (5 courses + a capstone project) which goes deeper on some areas after the foundations course: https://www.coursera.org/specializations/machine-learning

I am taking this specialization and I have learned a lot so far. The material seems like it's at exactly the right level of depth (balances giving a high level overview of the field, with enough depth in specific areas to understand how things work and be able to apply them). Disclaimer: I work at Dato, and the CEO of Dato is also one of the instructors of this course.

Sep 07, 2015 fsqcds submitted Machine Learning Specialization – Coursera.org (3 points, 0 comments)
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