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A Course in Machine Learning (ciml.info)
402 points by spv 288 days ago | hide | past | web | 19 comments | favorite



Here's a good book on convolutional neural networks: http://www.deeplearningbook.org/ It's suppose to be like the bible on deep learning at the moment but like most cutting edge stuff -- you're going to have to put a lot of effort into thinking for yourself and reading a lot of papers to make any new progress.


Here's a collection of free online resources, including Ian Goodfellow and Yoshua Bengio's excellent book: http://deeplearning4j.org/deeplearningforbeginners.html


I'll hold off until machine learning learned itself a course in machine learning to teach me machine learning to a level i can give courses in machine learning to machines that give machine learning courses, some how that sounds more appealing :)


Congratulations, you have passed the turing test.


This seems like a really good resource but as another poster mentioned, it is unfinished and going from the GitHub there hasn't been any work done on it since December 2015. Of course, the developer may well return to it or a fork may overtake it. Let's see.

https://github.com/hal3/ciml/graphs/contributors?from=2015-0...



I was expecting 1 or 2 past discussions. Then I saw 1-2 every year, for the past 3 years.


  wget -A pdf,jpg -m -p -E -k -K -np http://ciml.info/


Very nice work. If the eBook is reasonably priced when the book is done, I will buy a copy to support the author. I have read, or at least skimmed through, many ML books, and it is interesting to see how different authors think about and organize the material, and different perspectives help. I make the same comment on the ML and data science classes I have taken online: I like to get different perspectives on the same material from different teachers.


half the chapters are empty...


maybe we teach the machines to write them


haha! :D so funny!


The link to "purchasing a ($55) print copy" actually links back to the same page.


If you have time to read this material and play / work with this, you're so lucky.


If you really wanted to do it you would find a way.


Make time.


Ah HN downvoting at its finest. There is never time for anything. You don't HAVE time, you MAKE time. If you can't make time for it, you wouldn't do it if you had all the spare time in the world.


Exactly. It's like losing weight. "I can't exercise" "I don't have time to cook."

I lost 40 pounds last year eating chips and energy bars every day and working 70 hours/week.

You find a way.

Not necessarily the best way.

But you find a way :)


is making time something that's covered in the material?




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