![]() ![]() I found a post in CV asking for reference BEFORE reading ESL, but not AFTER ESL. Hastie, Tibshirani, and Friedman, The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Springer. My question is: what is next after I finish reading ESL? I have implemented some projects involving stochastic differential equation models using Python. During the past decade there has been an explosion in computation and information technology. ![]() So I think my Python skills, data Structures and Algorithms are average (at least, not beginner). In terms of programming, I have been using Python for the past 2 years and tutored an undergraduate Python course last year. To build up more on my theoretical background in these fields, I started reading Element of Statistical Learning (ESL) where I think it is known as the bible in statistical learning. ![]() I have some backgrounds on machine learning such as linear regression, logistic regression, K-mean clustering, SVM.įor deep learning, I know neural networks and CNN. I would like to work as a data scientist after my PhD graduation, particularly in the field of machine learning, deep learning and artificial intelligence. I am a Pure Maths PhD student specialising in functional analysis. ![]()
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