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Algorithms (The MIT Press Essential Knowledge series)
Item #: 27805591

Algorithms (The MIT Press Essential Knowledge series)

Item #: 27805591

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What Stands Out

Accessible Learning
Designed for beginners, this book simplifies complex algorithms with clear explanations, ensuring readers from various backgrounds can grasp essential concepts without prior knowledge.
Diverse Examples
Includes a wide range of practical examples that illustrate how algorithms work in real-world applications, making the content relatable and engaging for learners.
Comprehensive Coverage
Thoroughly covers fundamental algorithms while also introducing advanced topics, catering to both novices and those seeking a deeper understanding, making it a valuable resource.

Product Details

Shop Algorithms (The MIT Press Essential Knowledge series) online at a best price in Morocco. 0262539020
  • An accessible introduction to algorithms, explaining not just what they are but how they work, with examples from a wide range of application areas.Digital technology runs on algorithms, sets of instructions that describe how to do something efficiently. Application areas range from search engines to tournament scheduling, DNA sequencing, and machine learning. Arguing that every educated person today needs to have some understanding of algorithms and what they do, in this volume in the MIT Press Essential Knowledge series, Panos Louridas offers an introduction to algorithms that is accessible to the nonspecialist reader. Louridas explains not just what algorithms are but also how they work, offering a wide range of examples and keeping mathematics to a minimum.After discussing what an algorithm does and how its effectiveness can be measured, Louridas covers three of the most fundamental applications areas: graphs, which describe networks, from eighteenth-century problems to today's social networks; searching, and how to find the fastest way to search; and sorting, and the importance of choosing the best algorithm for particular tasks. He then presents larger-scale applications: PageRank, Google's founding algorithm; and neural networks and deep learning. Finally, Louridas describes how all algorithms are nothing more than simple moves with pen and paper, and how from such a humble foundation rise all their spectacular achievements.
Publisher The MIT Press
Publication date August 18, 2020
Language English
Print length 312 pages
ISBN-10 0262539020
ISBN-13 978-0262539029
Item Weight 9 ounces (255.15 grams)
Dimensions 5 x 0.79 x 7.01 inches (12.7 x 2 x 17.8 cm)
Part of series MIT Press Essential Knowledge

Who Should Buy?

Suitable For
  • Beginner Programmers

    Ideal for those new to programming, offering foundational concepts of algorithms in an easy-to-understand format.

  • Students in Courses

    Beneficial for students enrolled in computer science or mathematics courses, providing practical examples to aid learning.

  • Self-learners

    Great for individuals teaching themselves programming languages, offering clear explanations and a broad range of examples.

Not Suitable For
  • Advanced Developers

    Not suitable for experienced developers who require in-depth or complex algorithmic discussions beyond introductory levels.

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Intelligence & Semantics Editorial Review

This book offers an excellent introduction to the world of algorithms, starting with simple concepts and gradually progressing towards more complex ones. It emphasizes that algorithms are simply a framework for solving problems and can be done by hand. The chapters on search and sort are well done and the last chapter on Deep Learning does an excellent job of explaining the concept in a way that is simple to understand. This book is good preparation for entry-level studies in algorithms and programming logic. However, one review found the book to be too basic and written like a storybook. Another reader returned the book because they were disappointed with the author's initial focus on rhythmic patterns. Despite the mixed reviews, this book is recommended for those looking for a solid introduction to algorithms.

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Pros

  • Clear explanations of basic and complex algorithm concepts
  • Emphasizes that algorithms can be done by hand
  • Well-written chapter on Deep Learning

Cons

  • One reader found the book too basic and story-like

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