Any recommendations for books on statistical analysis and data science?

The more survival guide & short manual types, the better.

Lmao I was going to tag you and then saw who the OP was

@RememberMe I'm bored. Looking for refreshers before I get my hands dirty in kaggle again.

@NoMad well. I'm not a stats person but I've seen Tibshirani's Statistical Learning books floating around a fair bit. There's Elements of SL and Introduction to SL, I think Elements is the more advanced one.

I just spent a sem bashing my head against Boyd and Vanderberghe's convex optimization textbook, and while it's as dry as a baguette baked for twice as long as normal (I just did that...) it's a great book if you want a reference for optimization theory (you've probably had this book at some time tbh). For other, more readable texts there's "Numerical Optimization" by Nocedal and Wright
and "Convex Optimization: Algorithms and Complexity" by Bubeck.

Why not just dive into Kaggle anyway? Should be a lot more focused that way, you JIT learn what you need.

(Just noticed you'd asked for short manual type stuff, never mind this then)

@RememberMe thanks for the recomm. I already found two of the books. 😉

I am already on kaggle, but so far did mostly neural networks and learning. I kinda wanna make the foundation of "so I did this study, now wtf do I exactly do with this data" stronger. Idk, maybe it'd be interesting. ¯\_(ツ)_/¯

Also cuz I did some stuff on similarity analysis a while back and I'm still lost in exactly wtf I did there.

@NoMad sounds familiar. I'd love to get a basic grinding in learning, stats, and information theory. It's becoming important for some work too, I use a bunch of this stuff without *really* understanding the stats/learning component in it and I'm not too happy about that, it's going to backfire eventually. Let me know if you find other resources for this stuff.