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Questions seeking external references (books, papers, etc.) about a particular subject. Always use a more specific tag in addition.
3
votes
Accepted
Statistics for Engineers resource request
These are some non-geeky, enjoyable books on data science and statistics:
The Signal and the Noise by Nate Silver.
Keeping Up with the Quants
Data Smart
Predictive Analytics: The Power to Predict Wh …
5
votes
What are good introductory papers on recommender systems?
Recommender systems is a very nice topic and has some really nice tutorials and courses on the internet.
One of my favorites is Programming Collective Intelligence by Toby Segaran (2007) which gives …
19
votes
Accepted
Is ArXiv popular in the statistics community?
Yes, Arxiv is popular in the statistics and the data science community.
As the world of stats and data science evolves everyday, it is important for statisticians and data scientists to keep themselv …
5
votes
Accepted
Reference for xgboost
Source: Tianqi Chen's Quora answer
Both xgboost and gbm follows the principle of gradient boosting.
There are however, the difference in modeling details. Specifically,
xgboost used a more …
26
votes
Accepted
Where to start with statistics for an experienced developer
I would suggest you a basic road-map about how to go about it:
You can brush up basic math and stats at Khan Academy, and/or take the Intro to Statistics course by Udacity.
Then, you can take these …