--- product_id: 8257753 title: "Introduction To Probability" price: "β‚Ή 17433" currency: INR in_stock: true reviews_count: 13 url: https://www.desertcart.in/products/8257753-introduction-to-probability store_origin: IN region: India --- # Fast U.S. edition shipping MIT-endorsed curriculum 25% expanded content Introduction To Probability **Price:** β‚Ή 17433 **Availability:** βœ… In Stock ## Summary > 🎯 Elevate your analytical edge with the definitive probability guide! ## Quick Answers - **What is this?** Introduction To Probability - **How much does it cost?** β‚Ή 17433 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.in](https://www.desertcart.in/products/8257753-introduction-to-probability) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Key Features - β€’ **Intuitive Yet Rigorous:** Balances deep theoretical insight with accessible explanations and solved problems. - β€’ **Instant Access to Solutions:** Exclusive online resources with problem solutions and extended learning materials. - β€’ **Master Probability Like a Pro:** Comprehensive coverage from basics to advanced stochastic processes. - β€’ **MIT-Approved & Globally Trusted:** Used in top-tier courses, ensuring academic rigor and relevance. - β€’ **Bayesian & Classical Stats Unlocked:** New 2nd edition content bridges modern and traditional statistical inference. ## Overview Introduction to Probability, 2nd Edition, is a thoroughly revised and expanded textbook endorsed by MIT, offering a precise yet intuitive exploration of probability theory, stochastic processes, and statistical inference. Featuring 25% more content, including new Bayesian and classical statistics chapters, it combines rigorous analysis with accessible explanations and extensive problem-solving resources, making it the go-to text for students and professionals aiming to master probabilistic systems. ## Description An intuitive, yet precise introduction to probability theory, stochastic processes, and probabilistic models used in science, engineering, economics, and related fields. The 2nd edition is a substantial revision of the 1st edition, involving a reorganization of old material and the addition of new material. The length of the book has increased by about 25 percent. The main new feature of the 2nd edition is thorough introduction to Bayesian and classical statistics. The book is the currently used textbook for "Probabilistic Systems Analysis," an introductory probability course at the Massachusetts Institute of Technology, attended by a large number of undergraduate and graduate students. The book covers the fundamentals of probability theory (probabilistic models, discrete and continuous random variables, multiple random variables, and limit theorems), which are typically part of a first course on the subject, as well as the fundamental concepts and methods of statistical inference, both Bayesian and classical. It also contains, a number of more advanced topics, from which an instructor can choose to match the goals of a particular course. These topics include transforms, sums of random variables, a fairly detailed introduction to Bernoulli, Poisson, and Markov processes. The book strikes a balance between simplicity in exposition and sophistication in analytical reasoning. Some of the more mathematically rigorous analysis has been just intuitively explained in the text, but is developed in detail (at the level of advanced calculus) in the numerous solved theoretical problems. Written by two professors of the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology, and members of the prestigious US National Academy of Engineering, the book has been widely adopted for classroom use in introductory probability courses within the USA and abroad. From a Review of the 1st Edition: ...it trains the intuition to acquire probabilistic feeling. This book explains every single concept it enunciates. This is its main strength, deep explanation, and not just examples that happen to explain. Bertsekas and Tsitsiklis leave nothing to chance. The probability to misinterpret a concept or not understand it is just... zero. Numerous examples, figures, and end-of-chapter problems strengthen the understanding. Also of invaluable help is the book's web site, where solutions to the problems can be found-as well as much more information pertaining to probability, and also more problem sets. --Vladimir Botchev, Analog Dialogue Several other reviews can be found in the listing of the first edition of this book. Contents, preface, and more info at publisher's website (Athena Scientific, athenasc com) Review: A comprehensive guide to probability - 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. Review: Saved my a**! - 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. ## Features - Brand New Textbook - U.S Edition - Fast shipping ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #422,103 in Books ( See Top 100 in Books ) #248 in Statistics (Books) #368 in Probability & Statistics (Books) | | Customer Reviews | 4.6 out of 5 stars 276 Reviews | ## Images ![Introduction To Probability - Image 1](https://m.media-amazon.com/images/I/91iHKtVb8nL.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ A comprehensive guide to probability *by V***R on July 15, 2024* 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. ### ⭐⭐⭐⭐⭐ Saved my a**! *by U***M on December 15, 2023* 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. ### ⭐⭐⭐⭐⭐ Great book for self-study *by C***E on May 4, 2014* If you want to learn probability outside of a physical classroom, this book is an excellent choice. Detailed solutions for all end of chapter problems are available for free from the publisher's website. In addition, this book is used for MIT course 6.041, and MIT offers Open Courseware materials on their website for free. This includes videos of the lectures, as well as more solved problems (beyond those in the book itself) in the form of recitations, problem sets, tutorial problems, and past exams from the MIT class. There is also an edX MOOC that uses this book, with a different set of lectures that are less abbreviated than those for the MIT course. The book itself does a good job of presenting many of the classic problems of probability, including the Monty Hall Problem, the Prisoner's Dilemma, the Two Envelopes Paradox, and the St. Petersburg Paradox. Also, since this is used in the MIT electrical engineering and computer science department, there are problems throughout the book relating to subjects such as reliability and signal degradation. Finally, even though this book covers probability (not probability and statistics), it does cover the normal distribution throughout, as well as the Markov and Chebyshev Inequalities, the Central Limit Theorem, and the Law of Large Numbers. It also contains two chapters added in the 2nd edition covering statistical inference (Classical and Bayesian). --- ## Why Shop on Desertcart? - πŸ›’ **Trusted by 1.3+ Million Shoppers** β€” Serving international shoppers since 2016 - 🌍 **Shop Globally** β€” Access 737+ million products across 21 categories - πŸ’° **No Hidden Fees** β€” All customs, duties, and taxes included in the price - πŸ”„ **15-Day Free Returns** β€” Hassle-free returns (30 days for PRO members) - πŸ”’ **Secure Payments** β€” Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** β€” Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.in/products/8257753-introduction-to-probability](https://www.desertcart.in/products/8257753-introduction-to-probability) --- *Product available on Desertcart India* *Store origin: IN* *Last updated: 2026-10-23*