Introduction To Probability 2nd Edition by Dimitri P. Bertsekas (Author)

Introduction to Probability (2nd Edition)

Author(s): Dimitri P. Bertsekas, John N. Tsitsiklis
Binding: Paperback
Paper Quality:Yellow Paper
Category: Mathematics / Probability / Engineering & Computer Science
Recommended For: Undergraduate students in engineering, computer science, mathematics, and related fields; ideal for self-learners and those preparing for exams like GRE, GATE, and actuarial sciences.

Key Points

• Intuitive and Rigorous – Blends clear intuition with mathematical rigor, making it suitable for both beginners and advanced learners.

• Modern Applications – Includes real-world examples from data science, computer algorithms, networks, and machine learning.

• Comprehensive Structure – Covers combinatorics, conditional probability, Bayes’ rule, random variables, expectations, limit theorems, and Markov chains.

• Self-Contained Approach – Designed to be learned independently, with minimal reliance on external references.

• Problem-Rich Content – Features hundreds of carefully selected problems with varying difficulty to build strong conceptual understanding.

• Used in Top Universities – Adopted by institutions like MIT and Stanford for introductory probability courses.

• Accessible Format – Written in a student-friendly style without sacrificing depth, ideal for use in both classroom and independent study.

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Writer                 ✤            Dimitri P. Bertsekas (Author),
                                            John N. Tsitsiklis (Author)