Hacker News Comments on
Statistical Models: Theory and Practice
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Hacker News Stories and Comments
All the comments and stories posted to Hacker News that reference this book.The Philosopher's Toolkit: A Compendium of Philosophical Concepts and Methods by Baggini and Fosl. Mathematical logic, fallacies, etc. written by two famous philosophers. It's a great textbook for undergrads.Also Statistical Models: Theory and Practice by Freedman. I refer you to Taleb's review: https://www.amazon.com/Statistical-Models-Practice-David-Fre...
"[...] This book is outstanding in the following two aspects: 1) It is of immense clarity, embedding everything in real situations, 2) It uses the real-life situation to critique the statistical model and show you the limit of statistic."
Both cover most of what you need to know to think rigorously using logic and its extension to account for uncertainty, probability.
⬐ rramadassGreat suggestions.The first one in particular looks very interesting.
How would you compare Statistical Models by Freedman with Statistical Models by Davison ?
⬐ nextosI have Davison's book in my shelf but never read it cover to cover.I think it's much more advanced. It's like a third course in statistics, whereas Freedman can be used in first year.
It depends on what your goals are. If you'd like to become an ML Engineer or Data Scientist, Tensorflow should be last thing you learn. First, develop a solid foundation in linear algebra and statistics. Then, familiarize yourself with a nice ML toolkit like Scikit-Learn and The Elements of Statistical Learning (which is free online). The rest is a distraction.In addition to the linear algebra and statistics MOOCS mentioned, I'll also add:
* No bullshit guide to Linear Algebra: https://gumroad.com/l/noBSLA
* Statistical Models: Theory and Practice: https://www.amazon.com/Statistical-Models-Practice-David-Fre...