Hi Srinath, Thanks for initiating this.
On Tue, Dec 1, 2015 at 1:28 PM, Srinath Perera <[email protected]> wrote: > 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. > Agree. > > > [image: Inline image 1] > Please comment. > * predict next val -> Categorical (mix) : one hot encoding support will fill this gap. in addition to these, we have recommendations algorithm support too. > 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 > -- Thanks & regards, Nirmal Team Lead - WSO2 Machine Learner Associate Technical Lead - Data Technologies Team, WSO2 Inc. Mobile: +94715779733 Blog: http://nirmalfdo.blogspot.com/
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