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A Course in Machine Learning

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Re: A Course in Machine Learning

#2

Post by genofon »

please change the logo! I'm not trying to be jerky, it's always remarkable that someone wants to share his knowledge and I know probably it's not your priority, but the book and website will be better off without it.

also why do you have the topics "introduction to machine learning" and "decision trees" in the same chapter?

Re: A Course in Machine Learning

#5

Post by kyro »

tga wrote: post #3

If you are interested in this you might want to also look at Andrew Ng's (Stanford) Machine Learning course that is starting soon on Coursera. https://www.coursera.org/course/ml

Is this worth going through over picking up a textbook or two? I've found that Coursera courses are actually quite bloated. Lots and lots of empty talking, and very little substance.

Re: A Course in Machine Learning

#7

Post by Discordian93 »

kyro wrote: post #5
tga wrote: post #3

If you are interested in this you might want to also look at Andrew Ng's (Stanford) Machine Learning course that is starting soon on Coursera. https://www.coursera.org/course/ml

Is this worth going through over picking up a textbook or two? I've found that Coursera courses are actually quite bloated. Lots and lots of empty talking, and very little substance.

Depends on the course, but other a than a select few, I tend to agree. Not the case with edX courses, though, I think they are up to a much higher standard. (At least the programming/math ones).

Re: A Course in Machine Learning

#8

Post by Smerity »

For those who might not know, Hal Daumé III is a highly respected researcher in machine learning, spending a lot of time working in Natural Language Processing (NLP). He also contributes his knowledge to many interesting open source projects. After creating an algorithm called SEARN for solving hard structured prediction problems, Daumé et al. went and created a practical and open implementation of the algorithm in Vowpal Wabbit, an online machine learning library built for speed and used at Yahoo and Microsoft Research amongst other places. He's the sort of academic who contributes not just to theory, but also to practice. Browsing through his publications gives an idea of his contributions[1].

Given all that, I'm looking forward to his take on machine learning and for another valuable resource to be available to everyone.

[1]: http://www.umiacs.umd.edu/~hal/publications.html

Re: A Course in Machine Learning

#9

Post by sampo »

kyro wrote: post #5
tga wrote: post #3

If you are interested in this you might want to also look at Andrew Ng's (Stanford) Machine Learning course that is starting soon on Coursera. https://www.coursera.org/course/ml

Is this worth going through over picking up a textbook or two? I've found that Coursera courses are actually quite bloated. Lots and lots of empty talking, and very little substance.

I've taken the Coursera ML class. It's very easy if you have the adequate math background. And it's not very comprehensive, there are lots of machine learning methods that are not covered. So it's more like an introductory course to machine learning.

But it's absolutely commendable how Andrew Ng takes the topic to such an understandable level that a clever high schooler who knows a little about programming could take the course. There's even extra videos serving as a crash-course to linear algebra and octave programming in the first week.

So he really manages to make the topic accessible to a very large audience.

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