I'm looking for recommendations of books to read to increase my practical statistical analysis/statistical modeling abilities. A little background on me:
- 5 years as an actuary-in-training in health insurance with some computer science background
- Passed the actuarial predictive analytics exam, and I'm at an ISLR-level of theoretical understanding of statistical methods. No formal stats training during my math undergrad degree, I was mostly doing graph theory work.
- Have read R4DS, Advanced R, and I'm working on Text Mining with R: A Tidy Approach, and my programming and data munging skills are solid
The short list for my next book currently includes:
- Feature Selection and Engineering
- Applied Predictive Modeling
- Elements of Statistical Learning
- Tidymodels, but I would strongly prefer something I can get in print (Side question, anyone know if there will be a hard copy of this one day?)
And I'm curious to hear from those with more experience who have read one or more of these books: Which one should I read next? Is there a book I'm missing that would be better? Any thoughts or recommendations would be greatly appreciated!