What is the best book to deepen your understanding of Scikit-learn concepts?

AI Thread Summary
The discussion centers on seeking recommendations for a book that complements the Scikit-learn tutorial found on the official website. The aim is to gain a deeper understanding of the methods covered in the tutorial. There is also a mention of a lack of responses to the initial inquiry, prompting a suggestion to provide additional information or rephrase the post to encourage engagement. The focus remains on enhancing learning through supplementary resources related to Scikit-learn.
flebber
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I am going through the tutorial athttp://scikit-learn.org/stable/tutorial/index.html

Could anyone recommend a good book that could accompany this so I can gain a deeper understanding of the methods discussed.
 
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Thanks for the post! Sorry you aren't generating responses at the moment. Do you have any further information, come to any new conclusions or is it possible to reword the post?
 
This thread only works as a summary from the original source: List of STEM Masterworks in Physics, Mechanics, Electrodynamics... The original thread got very long and somewhat hard to read so I have compiled the recommendations from that thread in an online (Google Drive) spreadsheet. SUMMARY Permits are granted so you can make comments on the spreadsheet but I'll initially be the only one capable of edition. This is to avoid the possibility of someone deleting everything either by mistake...
By looking around, it seems like Dr. Hassani's books are great for studying "mathematical methods for the physicist/engineer." One is for the beginner physicist [Mathematical Methods: For Students of Physics and Related Fields] and the other is [Mathematical Physics: A Modern Introduction to Its Foundations] for the advanced undergraduate / grad student. I'm a sophomore undergrad and I have taken up the standard calculus sequence (~3sems) and ODEs. I want to self study ahead in mathematics...

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