Introduction To Probability Hardcover – 1 June 2008

the seller is selling original book,quality is super i am satisfied.

I really liked the MIT OCW course by Prof. Tsitsiklis along with this textbook. It really helped me in understanding the in-depth mathematical concept of Probability Theory. The right mixture of end of chapter problems is really helpful in clearing the concepts by working on those problems. Overall I don't regret the massive study time which I had to spent on this book it really helped me as a Data Scientist and will always help.

A must have book when you are looking forward to get started in probability, from scratch. Specially for UGs and PG freshmen.

This book did really save me lots of trouble during my Master's in CS. I've come from a background where we studied calculus and linear algebra but no probability and had to start with courses that assumed a first course in probability and statistics. These types of mathematics books are not usually my favorite as I prefer to go for more rigorous treatments but since I was pressed for time I decided to go with this one instead and less than two months later when I'd barely reached the half-way point I felt like everything in my CS courses are beginning to make sense to me. It absolutely did magic if I must say. I certainly recommend this to anyone who wants a very standard and intuitive treatment of probably and statistics. Although I have to add that this is a book that is more appropriate for students of engineering and hard sciences, students of mathematics would probably need a book where these topics are treated from a measure-theoretic point of view.

Il testo affianca le lezioni on line di probabilità del MIT ed è a mio parere il non plus ultra per chi voglia accostarsi con impegno e serietà a questo meraviglioso argomento

Buen libro para empezar.

Best book on probability I've ever read. Very clear, excellent choice of topics, excellent balance between text and examples. Also used as the textbook in the graduate probability course at MIT taught by prof. Tsitsiklis (co-author) - fabulous course, by the way - , also available online at EdX.One suggestion for improvement: I always try to solve the examples before reading their solution. Yet several examples do not state the problem before solving it :-)

Math manuals about probabilities. Plenty of exercises, just a perfect self-learning book.Don't buy it if you want to read casually, this is a book you'll have lean upon on your desk for a few hours.