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Algorithms (The MIT Press Essential Knowledge series)
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MAD 220
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- 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?
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Beginner Programmers
Ideal for those new to programming, offering foundational concepts of algorithms in an easy-to-understand format.
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Students in Courses
Beneficial for students enrolled in computer science or mathematics courses, providing practical examples to aid learning.
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Self-learners
Great for individuals teaching themselves programming languages, offering clear explanations and a broad range of examples.
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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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