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zuzoovn

Re:Deep learning nanodegree foundation on Friday January 13, 2017 @09:15PM (#13396449)
This is the only thing that makes me said: "At this time we are not awarding scholarships for this program."
Thanks, this is my multi-month study plan.
I added. Thanks
Oops, this is my typo. Sorry about that.
There still seems to be a lot of people out there who believe they can never become proficient at mathematics. This really holds a lot of people back and it shouldn’t.

Once you have the motivation to learn something, because it solves an immediate problem you have, you will learn it.

It's a step-by-step guide on how to learning machine learning from overview to detail. Any comments are welcome.

If you want the interactive system, please check "A Visual Introduction to Machine Learning:http://www.r2d3.us/visual-intro-to-machine-learning-part-1/"

It has a lot of practical exercises, homework and dataset.
Disclaimer: I am the author of this guide. My main goal was to find an approach to studying Machine Learning that is mainly hands-on and abstracts most of the Math for the beginner. This approach is unconventional because it’s the top-down and results-first approach designed for software engineers. You can read more here: http://sdtimes.com/sd-times-github-project-week-machine-lear...
Re:Machine Learning for Software Engineers on Wednesday November 09, 2016 @04:30AM (#12908524)
Disclaimer: I am the author of this Top-down learning path. Could you please take a look and give me some advice? Or If you have any opportunities, please drop me a line.
Are there any idea about the free machine learning camp? #7
Please, feel free to make any contributions you feel will make it better.