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.
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.
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 :)
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.
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.
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[ 5.1 ms ] story [ 51.7 ms ] threadI 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 :)
https://github.com/hal3/ciml/graphs/contributors?from=2015-0...