Hi Nirmal, I tried to think about what are gaps in ML algorithms. Basically, there are three main things we want to do with ML ( ignoring unsupervised and semi-supervised method for understanding data).
Data, there are 3 types. Numerical, Mix ( categorical included), time series ( data is autocorrelated) . Note: Let's not worry about spatiotemporal data for now. Following are my thoughts, and I have marked gaps with "?". We should plan to have at least one technique in each category. [image: Inline image 1] Please comment. Thanks Srinath -- ============================ Blog: http://srinathsview.blogspot.com twitter:@srinath_perera Site: http://people.apache.org/~hemapani/ Photos: http://www.flickr.com/photos/hemapani/ Phone: 0772360902
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