3 ms·

what is a good source to learn advanced data analysis for someone with mathematical background?

• sgt101 9y ago
  Judea Pearl & Andrew Gelman are great people. Trevor Hastie's books are good too. https://web.stanford.edu/~hastie/pub.htm https://web.stanford.edu/~hastie/pub.htm http://bayes.cs.ucla.edu/jp_home.html http://bayes.cs.ucla.edu/jp_home.html http://andrewgelman.com/books/ http://andrewgelman.com/books/ I guess it all depends on what is a mathematical background and what is advanced!
  • B4TMAN 9y ago
    Any suggestions for some mathematics resources?
  • quanto 9y ago
    Great. Thanks for the recommendation. What I mean by mathematical background is at or above undergraduate level (so definitely covers calculus, linear algebra, intermediate statistics). A background that can read Elements of Statistical Learning (ESL) comfortably. What I found is that many "data science" books cover how to use R or Pandas at a very introductory level. Books like ESL focus on core theories (which is great) but do not focus on how to tackle a tough real-world data. I suppose much of data insight come from experience, but I was wondering whether there are sources to help me jump start.
    • sgt101 9y ago
      The thing I struggle with is recognising what the problems in front of me are. It's usually bloody obvious, no problem, but then the work is quick and straightforward. The things that fill my calendar are the ones where we have problems which cost massive money which no one has found a treatment for. Sometime it suddenly becomes apparent and we suddenly see how to do it and everyone feels pretty sheepish!