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№ на артикул:
214543032
MIT Press Essential Knowledge Algorithms, (Paperback)
№ на артикул:
214543032
€ 28
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Информация за продукта
- 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.
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Textbooks |
| Publication date | August, 2020 |
| Pages | 312 |
| Reading level | General |
| Subgenre | Computers & Technology |
| Series title | MIT Press Essential Knowledge |
| Edition | 1 |
| Publisher | MIT Press |
| Original languages | English |
| Language | English |
| Edu focus | Technology |
| Educational level | General |
| Awards won | None |
| Is collectible | N |
| Binding type | Perfect Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 4.90 x 0.80 x 6.90 in (12.4 x 2 x 17.5 cm) |
| Assembled product weight | 0.7 lb (320 grams) |
| Bisac subject heading | Education |
Who Should Buy?
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Students in Tech
Ideal for students seeking foundational knowledge in algorithms for computer science and software development coursework.
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Professionals in IT
Beneficial for IT professionals needing a concise reference on algorithms to improve problem-solving skills and efficiency.
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Self-Learners
Great for self-learners and enthusiasts who wish to understand algorithms without delving into overly complex texts.
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Advanced Researchers
Not suitable for advanced researchers looking for in-depth, technical analysis or latest developments in algorithm studies.
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Panos Louridas All Books Editorial Review
MIT Press Essential Knowledge Algorithms, a paperback textbook published in August 2020, is designed to provide a general understanding of algorithms and their implications within the field of technology. This 312-page book caters to a wide audience, making complex topics accessible with its clear explanations and focus on non-fiction insights. Its perfect binding and compact dimensions make it a convenient addition to any reader's collection. While it may not have won awards, its educational focus on algorithms offers readers valuable knowledge that could enhance their understanding of computers and technology.
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Професионалисти
- Accessible explanations for general readers
- Compact and lightweight for easy handling
- Perfect binding ensures durability
- Focus on algorithms within technology
- Ideal for educational purposes
минуси
- May not be suitable for advanced readers
Product Price History
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€ 28
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Характеристики и предимства
- Accessible introduction to algorithms for nonspecialist readers.
- Covers how algorithms work with minimal mathematics.
- Explains key application areas: graphs, searching, and sorting.
- Discusses significant algorithms like PageRank and neural networks.
- Emphasizes that algorithms stem from simple instructions.
- Essential knowledge for navigating today's digital technology.
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