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    Cover of Probability

    Probability

    Allan Gut · 2007

    Data & Statistics
    Open LibraryAmazon
    Stats for nerds
    1recommend
    2mentions
    2people
    2019–2021years
    50% recommend50% neutral

    Mentions per year

    201920202021

    What Hacker News says

    1. epguiDec 2021
      I spend a lot of time sniffing them out.

      One thing I'll do once in a while is visit a university bookstore to get a sense of what's being used in classrooms. I ended up with a lot of my law textbooks like that. In law, I've really loved:

      - Canadian Administrative Law (Guy Régimbald): https://store.lexisnexis.ca/en/categories/shop-by-jurisdicti...

      - Tort Law (Horsey & Rackley): https://www.amazon.ca/Tort-Law-Kirsty-Horsey-dp-019886776X/d...

      - Handbook of Canadian Higher Education Law (Shanahan, Nilso & Broshko): https://www.amazon.ca/Handbook-Canadian-Higher-Education-Law...

      I've been on a maths, stats and ML/AI binge in the last year, and so far my top picks are:

      - Calculus (Stewart): https://www.amazon.ca/Calculus-James-Stewart/dp/1337624187/

      - Linear Algebra Done Right (Sheldon Axler): https://www.amazon.ca/Linear-Algebra-Right-Undergraduate-Mat...

      - An Illustrative Guide to Multivariable and Vector Calculus (Miklavcic): https://www.amazon.ca/gp/product/3030334589/

      - Probability: A Graduate Course (Allan Gut): https://www.amazon.ca/gp/product/1461447070/

      - Statistical Rethinking (McElreath): https://www.amazon.ca/gp/product/036713991X/

      - An Introduction to Statistical Learning (James, Witten, Hastie & Tibshirani): https://www.amazon.ca/Introduction-Statistical-Learning-Appl...

      - Regression and Other Stories (Gelman, Hill & Vehtari): https://www.amazon.ca/gp/product/1107676517/

      - Data Analysis Using Regression and Multilevel/Hierarchical Models (Gelman & Hill): https://www.amazon.ca/gp/product/052168689X/

      - Statistical and Data Analysis for Financial Engineering (Ruppert & Matteson): https://www.amazon.ca/gp/product/1493926136/

      - Reinforcement Learning (Sutton & Barto): https://www.amazon.ca/Reinforcement-Learning-Introduction-Ri...

      - Deep Learning (Godfellow, Bengio & Courville): https://www.amazon.ca/Deep-Learning-Ian-Goodfellow/dp/026203...

      - Networks (Mark Newman): https://www.amazon.ca/Networks-Mark-Newman/dp/0198805098/

      I have a ton of textbooks in my wishlist that seem noteworthy and interesting, but that I haven't gotten the chance to read yet: no promises, but you might find something in there https://www.amazon.ca/hz/wishlist/ls/1FWW046Q3RWWM

      My area of expertise is biochemistry, life science, immunology, cell bio... So if anyone wants good recommendations in these topics I have plenty! :)

      thread
    2. joker3Nov 2019
      This looks like it's roughly at the level of Allan Gut's intermediate probability book (https://www.amazon.com/Intermediate-Course-Probability-Sprin...). There's a need for more exposition at that level, but I'm not sure that the course notes themselves are a good source.
      thread

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