A first course in probability
by Sheldon M. Ross · first published 1976
56% recommend38% neutral6% critical
Why HN recommends it
Widely recommended as a standard undergraduate probability textbook, valued for its many problems with solutions and worked examples; suits students and self-learners who want practice-heavy coverage of the fundamentals.
Summarised by Claude from recommending comments
This title features clear and intuitive explanations of the mathematics of probability theory, outstanding problem sets, and a variety of diverse examples and applications.
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A great college textbook I had for intermediate probability theory is "A First Course in Probability" by Sheldon Ross, highly recommend it: http://www.amazon.com/First-Course-Probability-Sheldon-Ross/...
on “Harvard Statistics 110: Introduction to Probability, on iTunes” ↗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…
on “Please recommend a book to read. List for 2015” ↗…knowledge, I would recommend you read The Elements of Statistical Learning and Data Analysis Using Regression and Multilevel/Hierarchical Models. Also a good upper undergrad textbook in probability, like A First Course in Probability.
on “Data science interview questions with answers” ↗Ch. 1-5 of Sheldon Ross's "A First Course in Probability" works for this purpose. Consider testing/hardening your knowledge with Mosteller's "Fifty Challenging Problems in Probability".
on “Ask HN: Book which comprehensively covers probability theory?” ↗There are a lot of lectures on Khan academy. Once you're don't with those, you can also get the book 'A First Course in Probability' by Sheldon Ross.
on “Suggest good sites/books on probability” ↗I would suggest A First Course in Probability, 8th Edition by Sheldon Ross
on “Suggest good sites/books on probability” ↗Used for engineering at leading university's: S. Ross, A first course in probability, 8th Edition, Pearson Prentice Hall 2010. Suggested by prof as being good for learning: Introduction to probability, D. P. Bertsekas and J. N. Tsitsiklis, Athena Scientific , 2002. ISBN 1-886529-40-X.…
on “Suggest good sites/books on probability” ↗…calculus, combinatorics, and probability. For self study: Calculus: Stewart's Calculus is great. Linear Algebra: I've yet to meet a linear algebra text I liked, so not sure here. Probability: A First Course in Probability is an outstanding textbook. Other: Concrete Mathematics by Knuth is an incredible book, very VERY hard and took me a long time to get through, but packed with useful and interesting information.…
on “The Georgia Tech Online Master of Science in CS is now accepting applications” ↗…learning some basics, a library like Scikit Learn and then learn by doing examples. But if anyone wants to become an expert into ML/DS, learning statistics and probability is fundamental. Books like A First Course in Probability, Introduction to Statistical Learning and Elements of Statistical Learning, to name a few, are very important. A lot of the mistakes done in practice are based on a lack of understanding in sampling…
on “Ask HN: In 2022, what is the proper way to get into machine/deep learning?” ↗I was interested so I looked them up: A First Course in Probability: http://www.amazon.com/First-Course-Probability-9th/dp/032179... Linear Algebra with Applications: http://www.amazon.com/Linear-Algebra-Applications-Otto-Brets... Note that the Bretscher book has really…
on “Machine Learning Course by Tom Mitchell” ↗A couple recommendations piggybacking off of yours: A First Course in Probability has a lot of problems (with solutions) and worked examples, but it’s light on intuition and pedagogy. It’s not an easy book to learn from, on its own. I highly recommend listening to Joe Blitzstein’s…
on “Data science interview questions with answers” ↗Learning probability for strong foundation in ML. The books i am following are "First course in probability by Sheldon Ross" and "Probability and Statistics" Michael J. Evans and Je¤rey S. Rosenthal This is the first time i am studying based on the topics rather than following syllabus. I wanted to understand…
on “Ask HN: What are you learning?” ↗A First Course in Probability: http://www.ebay.com/itm/A-First-Course-in-Probability-EDN-9-... Linear Algebra with Applications: http://www.ebay.com/itm/Linear-Algebra-with-Applications-5ed... International editions of textbooks…
on “Machine Learning Course by Tom Mitchell” ↗Yeah just the books I used in school: Ross - A First Course in Probability Rice - Mathematical Statistics and Data Analysis Casella - Statistical Inference
on “Ask HN: Good book about statistics and probability?” ↗…long. It’s an exceptionally good book for the mathematical theory behind machine learning. What would this book look like under your proposal? If we add in Axler’s Linear Algebra Done Right and Chung’s A First Course in Probability Theory, we’re adding another 350 pages or so each. Both of those books have prerequisites, and Murphy’s book isn’t the top either. In my opinion your proposal is unrealistic, yes. I don’t mean for that…
on “Book: Mathematics for Machine Learning” ↗