Introduction To Probability

Dimitri has a great course online - superb teacher at MIT

Fantastic book (and related course).

The book is an exceptional resource for students across various fields, particularly those studying Artificial Intelligence (AI). It effectively demystifies the complexities of probability theory, making it accessible and engaging for readers at all levels. Learning how to calculate the probability of an event is just the beginning; the book guides you through fundamental concepts, including random variables, expectation, and various probability distributions, with clarity and precision.What sets this book apart is its blend of rigorous theoretical framework with practical examples and exercises that reinforce the material. Bertsekas has a unique ability to present intricate topics in a straightforward manner, which not only aids in comprehension but also sparks interest in the subject.For students pursuing AI, this book serves as an essential foundation, as probability theory is a cornerstone of many AI algorithms and models. The book's well-structured approach makes it a valuable reference for both coursework and self-study, providing the necessary tools to understand and apply probabilistic methods in AI.Overall, 'Introduction to Probability' is a must-have for anyone serious about mastering the concepts and applications of probability. It’s not just a textbook; it’s a comprehensive learning tool that prepares you to tackle real-world problems with confidence, especially in the field of AI.

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

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 :-)