£95.99

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£96 today · previous high £96 · all-time low £91

Cambridge University Press - How to Think about Algorithms

Amazon

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£95.99 £90.71 £91.86 £93.01 £94.17 £95.32 £96.47 25 July 2026 16 August 2026 07 September 2026 29 September 2026 21 October 2026
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Price distribution over 89 days • 3 price levels

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13 days 1 day 75 days · current 0 19 38 56 75 £91 £95 £96 Days at Price

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Most common price: £96 (75 days, 84.3%)

Price range: £91 - £96

Price levels: 3 different prices over 89 days

Description

Master the fundamentals of algorithm design with this revised and student-friendly textbook from Cambridge University Press. Unlike traditional texts that focus heavily on formal proofs, this second edition offers an approachable way to learn through straightforward methods and step-by-step guidance. Students can develop algorithms effectively while avoiding common pitfalls and gaining a clear understanding of the bigger picture. This updated edition includes a brand new chapter on machine learning algorithms to keep pace with modern computing needs. To aid in study and retention, the book provides concise key concept summaries at the end of each part. It is an ideal resource for those looking to build a strong foundation in programming and algorithmic thinking without getting lost in dense mathematical theory.

Key Features

This second edition from Cambridge University Press includes a new chapter dedicated to machine learning algorithms.

The textbook provides step-by-step methods for developing algorithms without the need to grind through excessive formal proofs.

Students receive expert guidance on avoiding common pitfalls encountered during the algorithm design process.

Each part of the book concludes with concise key concept summaries to help reinforce learning and quick review.

The revised content focuses on straightforward methods and valuable insights to help students understand the bigger picture.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
07 March 2024
Listed Since
07 April 2023

Barcode

No barcode data available

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