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>there's a salty purist like you listing buzzwords from casella and berger in every threa That cracked me up lol. I was hired as a data science at big tech wit

>there's a salty purist like you listing buzzwords from casella and berger in every threa That cracked me up lol. I was hired as a data science at big tech with only some high level data science skills. I first learned to write productuon quality code. I then (and now) am working through Casella Berger, I'm 1/3 through. It's hard! I've had to stop and brush up on math a lot. I love learning theoretical stats, I feel it makes me a better data scientist. But I also know I've worked with phd data scienctists who worked through all of C&B but couldn't code, and they weren't as valuable as the more self-taught code-first data scientists (at least on my team).

commandlinefan 7y ago
I had never heard of Casella & Berger (but I'm the salty guy on the data structures threads going on about how great TAOCP is). I looked it up on Amazon and it looks interesting and like exactly what I've been looking for, but there's no "look inside this book" or even a table of contents on there. Before I pick it up, how much math background would I probably need to be able to penetrate it? I'm up on calculus and linear algebra, but I only took one statistics course as an undergrad 25 years ago.
- mlevental 7y ago
  there's a pdf floating around - for me it's the first hit when i search casella berger on google >I'm up on calculus and linear algebra, but I only took one statistics course as an undergrad 25 years ago. it is a serious graduate math stats book but i personally don't consider it a graduate math book (because it does not use measure theory). it is proof focused because it's used for foundational grad stats classes (i.e. prep for quals) but the proofs aren't that hard to follow (if you've had a good calculus class [epsilon-delta definition of limits]). some of the exercises are brutal algebraically though. good things there's a solutions manual floating around :)
  - natalyarostova 7y ago
    > some of the exercises are brutal algebraically though This is definitely true, and I wouldn't recommend this book to anyone unless they considered this a feature. For me, it was/is a feature, because I suck at algebra, and this is helpful.

commandlinefan 7y ago

I had never heard of Casella & Berger (but I'm the salty guy on the data structures threads going on about how great TAOCP is). I looked it up on Amazon and it looks interesting and like exactly what I've been looking for, but there's no "look inside this book" or even a table of contents on there. Before I pick it up, how much math background would I probably need to be able to penetrate it? I'm up on calculus and linear algebra, but I only took one statistics course as an undergrad 25 years ago.

mlevental 7y ago
there's a pdf floating around - for me it's the first hit when i search casella berger on google >I'm up on calculus and linear algebra, but I only took one statistics course as an undergrad 25 years ago. it is a serious graduate math stats book but i personally don't consider it a graduate math book (because it does not use measure theory). it is proof focused because it's used for foundational grad stats classes (i.e. prep for quals) but the proofs aren't that hard to follow (if you've had a good calculus class [epsilon-delta definition of limits]). some of the exercises are brutal algebraically though. good things there's a solutions manual floating around :)
- natalyarostova 7y ago
  > some of the exercises are brutal algebraically though This is definitely true, and I wouldn't recommend this book to anyone unless they considered this a feature. For me, it was/is a feature, because I suck at algebra, and this is helpful.