Introduction to Probability by Joseph K. Blitzstein & Jessica Hwang, 2nd Edition (ISBN 9781138369917) - Hardcover

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  • Condition: Brand New.
  • Author: Joseph K. Blitzstein, Jessica Hwang
  • ISBN13: 9781138369917
  • ISBN10: 1138369918
  • Type: Hardcover Book.
  • Publisher: Chapman and Hall/CRC
  • Language : English
  • Edition: 2nd edition

By: Joseph K. Blitzstein, Jessica Hwang Availability: In Stock Condition: Brand New.

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Descriptions

Introduction to Probability

2nd Edition • By Joseph K. Blitzstein & Jessica Hwang

Introduction to Probability is one of the most popular and accessible probability textbooks in modern education. Used in Harvard’s Stat 110 course, it blends intuition, rigorous reasoning, real-life examples, and problem-solving strategies that make probability understandable and engaging for students and self-learners across statistics, computer science, data science, engineering, and mathematics.

Product Details

  • Title: Introduction to Probability
  • Edition: 2nd Edition
  • Authors: Joseph K. Blitzstein; Jessica Hwang
  • Series: Chapman & Hall/CRC Texts in Statistical Science
  • ISBN-13: 9781138369917
  • Format: Hardcover
  • Price: $54.99
  • Availability: In Stock | Free Shipping Worldwide

Key Features

  • Intuition + rigor with clear explanations that bridge concepts and formal reasoning
  • Expanded examples with step-by-step setups to build problem-solving confidence
  • Exercises & challenges ranging from fundamentals to advanced enrichment problems
  • Applications everywhere including AI/ML, finance, genetics, algorithms, and games
  • Visual & conceptual tools to support probability rules, heuristics, and modeling

Topics Covered (Highlights)

  1. Combinatorics & Counting
  2. Conditional Probability & Bayes’ Rule
  3. Random Variables & Distributions
  4. Expectation & Variance
  5. Discrete & Continuous Models
  6. Joint Distributions & Independence
  7. Markov Chains
  8. Limit Theorems
  9. Applications to Machine Learning & Data Science

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Overview

A clear, rigorous, and intuition-first probability textbook used in Harvard Stat 110. Ideal for students, self-learners, and anyone building strong foundations for statistics, CS, and data science.

Who Should Use This Book?

  • University students in probability, statistics, or data science
  • Computer science and engineering students
  • ML engineers building probabilistic foundations
  • Self-learners preparing for interviews and exams
  • Faculty teaching introductory probability

Why Buy from BooksGoat?

  • Best market pricing
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FAQs

  • Is this book suitable for beginners in probability?
    Yes, it is designed to be intuition-first and accessible while remaining mathematically rigorous.
  • Is this the textbook used in Harvard’s Stat 110 course?
    Yes, it is the official textbook for Harvard University’s Stat 110 Probability course.
  • Who is the primary audience for this book?
    Undergraduate and graduate students in probability, statistics, computer science, data science, and engineering.
  • Does the book require advanced mathematics?
    No, basic calculus and algebra are helpful, but advanced math is not strictly required.
  • Is this edition updated from the first edition?
    Yes, the 2nd Edition includes expanded explanations, refined examples, and updated exercises.
  • Does it include real-world applications?
    Yes, it covers applications in machine learning, algorithms, finance, genetics, and data science.

Build real probability intuition—and master the tools used across statistics, AI, and data science with Introduction to Probability.