Last 1 semester I have dabbled in Statistical Machine Learning. My thesis is in a related field. Ideas here need a very clear understanding of linear algebra, probability statistics and optimization and sometimes a bit of complexity theory. Some proofs are very very non intuitive to me at present. Looking at the profile of people working in this field give me self doubt. I think the best strategy is to not think to much about this and just do it! Let us see...I should be optimistic, if they have done it then so can I!
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