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Great. Thanks for the recommendation. What I mean by mathematical background is at or above undergraduate level (so definitely covers calculus, linear algebra,
by 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 agoThe 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!