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174592682
Algorithms (MIT Press Essential Knowledge)
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Item #:
174592682
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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.
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What Stands Out
Expert Insights
Written by knowledgeable MIT scholars, this book provides in-depth explanations of algorithms, making complex concepts accessible for learners and professionals interested in computational theory.
Concise Format
Designed as part of the Essential Knowledge series, this paperback distills essential algorithmic concepts into a compact format, ideal for students and practitioners who require quick, focused information.
Practical Applications
Includes real-world examples and applications of algorithms, helping readers understand their importance in technology and data processing, thus bridging the gap between theory and practice.
Product Details
- 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 | MIT Press |
| Publication date | 22 Sept. 2020 |
| Edition | 1st |
| Language | English |
| Print length | 312 pages |
| ISBN-10 | 0262539020 |
| ISBN-13 | 978-0262539029 |
| Item weight | 255 g |
| Dimensions | 12.7 x 2 x 17.8 cm |
| Part of series | MIT Press Essential Knowledge |
Who Should Buy?
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Students
Ideal for university students who are beginning their study of algorithms and need a concise introduction.
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Professionals
Great for professionals seeking to refresh their knowledge of algorithms for application in tech-related fields.
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Self-learners
Perfect for self-learners who appreciate a structured overview of algorithms and their real-world implications.
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Expert Researchers
Not suitable for experienced researchers seeking in-depth analysis or advanced algorithmic studies beyond basic concepts.
Product Description
About This Item
Are you fascinated by the world of algorithms and their impact on e-commerce? Look no further than the "Algorithms" book from The MIT Press Essential Knowledge series. This paperback is a must-have for anyone interested in understanding algorithmic decision-making, machine learning, and algorithm optimization in the e-commerce industry. With e-commerce algorithms playing a crucial role in driving the success of online businesses, staying up to date with the latest trends and practices is essential. This book covers a wide range of topics, including algorithmic pricing, recommendation algorithms, search algorithms, and algorithmic marketing.
Whether you're an e-commerce merchandising specialist or simply curious about the algorithms driving your online shopping experience, "Algorithms" offers valuable insights. Gain a deeper understanding of algorithmic fraud detection and governance, and discover how social media algorithms shape the e-commerce landscape. Explore the fascinating world of algorithm-driven customer experiences and learn how AI algorithms are revolutionizing the e-commerce industry. Written by experts in the field, this book provides an accessible and comprehensive overview of the algorithms that power e-commerce. It offers insights into algorithm design, data algorithms for e-commerce analytics, and algorithmic personalization.
Whether you're a beginner or a seasoned professional, "Algorithms" will expand your knowledge and help you navigate the ever-evolving world of e-commerce. Stay ahead of the competition and unlock the potential of algorithms in e-commerce. Order your copy of "Algorithms" today and become an expert in algorithmic decision-making for online businesses.
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Technical Editorial Review
Algorithms MIT Press Essential Knowledge is a well-structured introduction to algorithms, published by MIT Press on September 22, 2020. Spanning 312 pages, it offers clear explanations of various algorithmic concepts, from basic definitions to advanced topics like Google's PageRank and deep learning applications. Readers appreciate the storytelling approach that makes complex subjects more accessible and the integration of numerous examples that enhance understanding. This book serves both as a primer for beginners and a valuable resource for those looking to clarify their existing knowledge on the topic.
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Pros
- Clear explanations enhance understanding of complex concepts
- Generous use of examples for better clarity
- Well-paced narrative keeps readers engaged
- Elementary introduction suitable for beginners
- Explores large-scale applications in depth
Cons
- Some may find the content too basic if well-versed in algorithms
Product Price History
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Features & Benefits
- Introduction to algorithms that is accessible to the nonspecialist reader
- Explains the working of algorithms with examples from various fields.
- Covers fundamental application areas like graphs, searching, and sorting
- Discusses PageRank, Google's founding algorithm and neural networks and deep learning
- Describes how all algorithms are nothing more than simple moves with pen and paper
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