Open Thoughts on Analytics
APR 24, 2012 9:01am ET

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Machine Learning Hits the Books

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I’d just started my annual review of free online courseware for relevant computer science and statistics curricula when a colleague referred me to a NYTimes.com article on a new company formed by Stanford CS faculty colleagues Andrew Ng and Daphne Koller.

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Comments (1)
Dear Steve, finally a serious approach to the machine learning training! in my blog I receive many emails of students that would like to know what is the best and fast way to "become" a machine learning expert. Of course, doesn't exist a fast or easy way to be an expert, and attend just a corse, even if it is the greatest course of the world, it cannot be enough. In my own small way, I think that such scientific path takes a lot of time and practice! I meet many brilliant students having deep knowledge of a specific algorithm, but when I ask them to implement it, often they are not able to do it! Sometime, they have no clue about the right params configuration, on other occasion they are not able to adapt it to a real case. Deep theory is just the first requirement, practice is essential. Surfing on internet I notice that nowadays the "tools" are fashionable, and the people think that a certification on a specific suite is the right way to become expert, and many companies require these certification or experience on them. This is terribly false, I always suggest to my blog followers to implement by yourself whatever algo. Only implementing by yourself an algorithm and testing it you can say where it works, where it cannot work and how to use it to solve a REAL problem. be always humble, never think to know everything and confute always your results. Regards http://textanddatamining.blogspot.com/
Posted by Cristian M | Tuesday, May 08 2012 at 4:38PM ET
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