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FROM THE SHARED SHELF · 2006–2026 SAMPLE

Bayesian Data Analysis

Andrew Gelman et al.

2 readers recommend it across 2 discussions

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Original Hacker News comments, in the readers’ own words.

autokad
let me know if you guys find better replacements, but this is what I got on my list: O'Reilly - Scott Murray - Interactive Data Visualization for the Web Data Visualization with D3.js Cookbook A First Course in Probability Rails AntiPatterns - Best Practice Ruby on Rails Refactoring Bayesian Data Analysis Andrew Gelma The Pragmatic Programmer Code Complete Bishop - Pattern Recognition and Machine Learning O'Reilly Mining The Social Web
lkozma
You could read Gilbert Strang's Linear Algebra books, there are also video lectures available... Gelman's Bayesian Data Analysis is a good statistical intro with a Bayesian bend, maybe Freedman's Statistical models, read some general machine learning intro book, such as Alpaydin or Bishop for a more probabilistic view. For NLP especially, you'll need some information theory. Maybe start with MacKay's Information Theory, Inference, etc. (it is freely available online), very entertaining and accessible book and you can follow the pointers there for more details. For general data mining and machine learning you need some basics of optimization, pick up any standard book on convex optimization to get an idea of the basic problems and methods. that's it at a first try :)