£82.60

Oxford University Press - Probability and Statistics Textbook

Name: Oxford University Press - Probability and Statistics Textbook
Brand: Oxford University Press
Price: 100.2 GBP
Availability: InStock

Applied Mathematics

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Description

Master the essential principles of data analysis with A Modern Introduction to Probability and Statistics. This text provides a necessary foundation for anyone working with artificial intelligence, where understanding statistical concepts is vital for success. By bridging the gap between traditional methods and modern technology, this book offers a unique learning path. The first half focuses on core foundations, including probability, conditional probability, and standard probability distributions. The second half shifts focus to the modern era, teaching you how to leverage the power of computers and technology to handle complex calculations. This fresh presentation builds upon the author's previous work to provide a clear, updated perspective on how these subjects function in a computer-driven world. Whether you are a student or a professional, this book helps you navigate the evolving landscape of statistical science.

Key Features

Covers fundamental probability concepts including conditional probability and standard distributions to build a strong mathematical base.

Integrates modern computing methods to show how technology handles complex statistical calculations in today's digital age.

Provides essential knowledge for data analysis and artificial intelligence applications.

Offers a fresh presentation that evolves alongside modern technological advancements.

Published by Oxford University Press to ensure high standards of academic content and reliability.

Product Specifications

Brand: Oxford University Press
Format: hardcover
ASIN: 0198943121
Category: Books > Subjects > Science, Nature & Maths > Mathematics > Applied Mathematics
Domain: Amazon UK
Release Date: 01 July 2025
Listed Since: 04 March 2025

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Oxford University Press - Probability and Statistics Textbook

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