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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. Review: Great introduction to Algorithms - The book fulfills a brief idea of algorithms that are widely used today in several fields. It begins from simple concepts and leads you to more complex topics such as the foundations of Nerual Networks. The book invites you to broaden the presented knowledge by yourself. Review: I like it. - this book was successful
| Best Sellers Rank | #280,772 in Books ( See Top 100 in Books ) #121 in Programming Algorithms #176 in Algorithms #740 in Artificial Intelligence |
| Customer Reviews | 4.6 out of 5 stars 250 Reviews |
C**N
Great introduction to Algorithms
The book fulfills a brief idea of algorithms that are widely used today in several fields. It begins from simple concepts and leads you to more complex topics such as the foundations of Nerual Networks. The book invites you to broaden the presented knowledge by yourself.
A**K
I like it.
this book was successful
M**E
Should publish in newspapers how Facebook Algorithms actually work
This is a basic explanation of the importance of Algorithms in cyberspace like Facebook. There are Bad Algorithms and Good Algorithms. In the case of Facebook, Who are the shareholders paying the Algorithms-expert Engineers to Prompt someone to any Feature Adverts, Notifications, News, or Events?
B**O
Sturdy First Step in Understanding the Invisible Forces Driving Our Digital Age
Algorithms is part of MIT's Essential Knowledge Series, a collection of concise books designed for lay readers on topics ranging from Animal Rights to Phenology. In this installment, author Panos Louridas—Associate Professor in the Department of Management Science and Technology at the Athens University of Economics and Business—guides readers through the core computer science algorithms that power systems like Google Search, RSA encryption, and sorting mechanisms. Louridas highlights key contributions from historical figures such as Euclid, Euler, Hierholzer, and Dijkstra, offering accessible explanations that sidestep heavy mathematics in favor of clear, visual illustrations. Concepts like nodes, quicksort, and even neural networks are made understandable, making the book an inviting primer for those curious about AI and deep learning. While some reviewers criticize the book for being too short or not technical enough, that was never its purpose. Rather, the aim is to give any educated reader a thoughtful introduction to the foundational logic behind tools like ChatGPT, Google Genesis, and DeepSeek. In a world increasingly shaped by algorithms, Louridas offers not a deep dive, but a sturdy first step into understanding the invisible forces driving our digital age.
M**M
Quality read, full of information.
One of the many quality MIT Press series, worth picking up.
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