•1 min read•from Machine Learning
Need suggestion on solidifying theoretical foundations. [D]
I have done courses on Statistical machine learning and deep learning. And I would say I understand the papers even the theoretical justification part. However whenever I am reading a paper I believe I get a backseat and just absorb whats written rather than being critical of it.
This is also hampering my research objective as I am decent in the empirical part but often struggle with theoretically grounding it. Any suggestion?
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