| title | excerpt | publishDate | category |
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The Best Algorithms Books |
Explore the fascinating world of algorithms and artificial intelligence through this roundup of top-rated books, as leading experts delve into cutting-edge research and practical applications. Discover invaluable insights and innovative concepts that are shaping our future in technology. |
2024-05-18T06:14:40Z |
Welcome to our roundup of top Algorithms Books, where we delve into the world of computer science and explore the best resources that unveil the secrets of efficient algorithms. From beginner-friendly guides to advanced textbooks, this article will help you navigate the vast landscape of algorithms and discover the ones that suit your needs best.
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Uncover the power of randomized algorithms with "Randomized Algorithms" by Rajeev Motwani and Prabhakar Raghavan. This comprehensive guide showcases the versatility and efficiency of these algorithms, proving to be an invaluable resource for researchers, professionals, and students alike. The text explores the fundamental concepts in the design and analysis of randomized algorithms, offering real-world examples and tools from probability theory.
The book is divided into two engaging sections. The first part presents recurrent tools from probability theory that are crucial for algorithmic applications. Throughout the section, we can find concrete examples showcasing the implementation of these tools in various algorithmic contexts.
The second part of the book is dedicated to highlighting the applications of randomized algorithms in seven key areas: data structures, geometric algorithms, graph algorithms, number theory, enumeration, parallel algorithms, and online algorithms. Each chapter focuses on a specific application and showcases a comprehensive and representative selection of algorithms in these fields.
"Randomized Algorithms" stands out as a reliable reference guide, providing readers with a solid understanding of the essential concepts in randomized algorithms. Whether you're a researcher, professional, or student diving into the world of algorithms, this book is a must-read that offers intriguing insights and practical applications of randomized algorithms.
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Authors: Rajeev Motwani, Prabhakar Raghavan
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Publisher: Cambridge University Press
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Published Date: August 25, 1995
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Computer Science and Computational Biology
Algorithms on Strings, Trees and Sequences is an essential book for anyone seeking to explore the profound impact of algorithms and computational tools on the fields of computer science and biological data analysis. Written by renowned author, Dan Gusfield, this comprehensive work delves deep into the vital area of string algorithms, a topic that has garnered much attention with the advent of abundant electronic and molecular data. The book, published in 1997 by Cambridge University Press, serves as a powerful guide for both beginners and seasoned professionals alike, providing a broad and rigorous understanding of the fundamental algorithms that power the field.
With its lucid exposition of concepts, the book effectively bridges the gap between pure computer science and biological applications, offering extensive discussions on real-life problems from various biological domains. By meticulously simplifying the methods and algorithms previously deemed accessible only to the specialist, it has made these complex ideas accessible to a broader audience.
Equipped with over 400 exercises, Algorithms on Strings, Trees and Sequences serves as an indispensable textbook for graduate and advanced undergraduate students majoring in computer science, computational biology, or bio-informatics. It not only prepares them for the intricacies of the field but also offers them the opportunity to develop their problem-solving skills in-depth.
In addition to serving as an educational resource, the book also functions as a valuable reference for professionals in the industry. Its comprehensive, up-to-date coverage of current algorithms and techniques offers professionals a solid foundation to build upon. This landmark work has stood the test of time, remaining relevant even amidst the rapid technological advancements and serves as an inspiring testament to the enduring value of a well-grounded, thorough education in the field.
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Authors: Dan Gusfield
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Publisher: Cambridge University Press
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Published Date: May 28, 1997
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Print Type: BOOK
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Categories: Computers
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Average Rating: 5.0
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Ratings Count: 1.0
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Maturity Rating: NOT_MATURE
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Language: en
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Dive into the world of algorithms and data structures with "Introduction to Algorithms, " now in an extensively revised edition. This comprehensive textbook by renowned authors Thomas H. Cormen, Charles E.
Leiserson, Ronald L. Rivest, and Clifford Stein showcases an accessible yet mathematically rigorous approach, making complex concepts understandable. With 66 algorithms, 770 exercises, and detailed explanations, you'll find yourself thoroughly introduced to the field.
This MIT Press publication, first published in 2001, remains a staple for computer science students and professionals today, receiving an average rating of 4.5 stars from 187 reviews.
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Authors: Thomas H Cormen, Charles E Leiserson, Ronald L Rivest, Clifford Stein
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Publisher: MIT Press
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Published Date: May 17, 2001
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Page Count: 1216.0
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Print Type: BOOK
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Categories: Computers
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Average Rating: 4.5
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Ratings Count: 187.0
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Maturity Rating: NOT_MATURE
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Language: en
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"An Introduction to Data Structures and Algorithms" by J. A. Storer is a comprehensive guide for college students seeking to master the fundamental concepts in this essential field of study. This 632-page book, published by Springer Science & Business Media, presents complex data structures and algorithms in an accessible manner, making them easier for both teachers and students to understand.
The book consists of thirteen engaging chapters, covering topics such as models of computation, lists, induction and recursion, trees, algorithm design, hashing, heaps, balanced trees, sets over a small universe, graphs, strings, discrete Fourier transform, and parallel computation. Each chapter focuses on the essential nature of these concepts, making it a valuable resource for students looking to reinforce their understanding.
The author ensures that the most intricate ideas are conveyed clearly and efficiently, with minimal mathematical notation and a lack of language-specific syntax. Algorithms are made readily comprehensible through the use of self-explanatory "pseudo-code. " This book caters to various levels of learners – whether they are newcomers seeking an introductory course or more experienced students in search of an advanced course. The material can be adapted to fit both one-semester and year-long courses, making it flexible and versatile.
Sorting, a crucial aspect of data structures, is integrated within multiple examples throughout the book, including bubble sort, merge sort, tree sort, heap sort, quick sort, and several parallel algorithms. The book also presents lower bounds on sorting by comparisons in the context of heaps, providing a comprehensive understanding of the subject.
The final chapter on parallel models of computation offers a comprehensive capstone to the course, with enough content to effectively conclude a semester's coursework. As a whole, "An Introduction to Data Structures and Algorithms" is an invaluable addition to any academic library in the field of computer science.
With a maturity rating of NOT_MATURE and an average rating of 4.5 stars across 6.0 reviews, this book stands out as a reliable resource for anyone looking to delve into the world of data structures and algorithms.
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Authors: J.A. Storer
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Publisher: Springer Science & Business Media
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Published Date: November 09, 2001
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Page Count: 632.0
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Print Type: BOOK
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Categories: Computers
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Average Rating: 4.5
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Ratings Count: 6.0
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Maturity Rating: NOT_MATURE
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Language: en
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"How to Think About Algorithms" is the perfect guide for second and third-year computer science students, providing unique insights, notations, and analogies to simplify the complex world of algorithms. Rather than focusing on tedious formal proofs, the author emphasizes the big picture and accessible step-by-step methods for developing algorithms.
This book not only clarifies common pitfalls, but also unifies a vast range of algorithms into a few overarching meta-algorithms. By highlighting paradigms such as loop invariants and recursion, students gain a deeper understanding of how and why each algorithm functions. With comprehensive solutions to problems and class-tested PowerPoint slides, this book is an invaluable resource on the path to understanding and creating innovative algorithms.
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Authors: Jeff Edmonds
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Publisher: Cambridge University Press
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Published Date: May 19, 2008
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Page Count: 409.0
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Print Type: BOOK
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Categories: Computers
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Average Rating: 4.0
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Ratings Count: 2.0
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Maturity Rating: NOT_MATURE
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Language: en
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Introducing the third edition of the all-time classic: Introduction to Algorithms. Renowned as one of the most thorough and rigorous textbooks on algorithms, this edition packs substantial new content on crucial topics such as vEB trees, multithreaded algorithms, dynamic programming, and flow. What sets this book apart is its ability to provide a comprehensive approach that caters to readers of all levels, from beginners to experts.
Each chapter is thoughtfully constructed to work independently, making it a flexible study companion. The authors masterfully explain algorithms using English language and a reader-friendly pseudocode that anyone familiar with programming will appreciate. The explanations are straightforward yet maintain the mathematical precision necessary to cover the depth of each topic.
Since its first edition, Introduction to Algorithms has become a widely renowned textbook in universities globally and the standard reference tool for professionals. The second edition expanded its scope with new chapters on roles of algorithms, probabilistic analysis, randomized algorithms, and linear programming, among others.
In a response to the evolving technological landscape, the third edition has been comprehensively revised and updated. It includes two brand-new chapters on van Emde Boas trees and multithreaded algorithms, substantially enhanced sections on divide-and-conquer, recursion, and dynamic programming, and an intriguing new idea on edge-based flow in the chapter on flow networks. Moreover, the book features a plethora of additional exercises and problems to ensure a complete understanding.
This third edition of a worldwide recognized classic serves as an essential resource for students, professionals, and all those seeking to unravel the depth of algorithms and their applications.
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Authors: Thomas H. Cormen, Charles E. Leiserson, Ronald L. Rivest, Clifford Stein
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Publisher: MIT Press
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Published Date: July 31, 2009
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Page Count: 1313.0
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Algorithms Unplugged takes readers on a captivating journey through the world of algorithms, shedding light on their vital role in modern technology and scientific breakthroughs. From computer games to the sequencing of the human genome, this fascinating book showcases the beauty and creativity behind algorithmic ideas.
Written in non-technical language, Algorithms Unplugged presents 41 captivating articles, originally initiated by German universities to spark interest in algorithms and computer science among high-school students. The book is accessible to readers with no prior knowledge of algorithms and computing, making it an enlightening and enjoyable read for students and adults alike.
Delve into the intriguing world of algorithms and discover the fascinating solutions to challenging problems, such as finding the exit from a maze or planning an optimized trip. Through logical reasoning, geometric imagination, and a creative approach, the authors of Algorithms Unplugged will ignite your passion for this fascinating field.
With 406 pages of intriguing content, Algorithms Unplugged is a must-read for anyone wanting to unravel the mysteries of algorithms and their importance in our rapidly evolving technological landscape. Join the authors and the participating universities on their adventure and experience the beauty of algorithmic ideas firsthand.
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Authors: Berthold Vöcking, Helmut Alt, Martin Dietzfelbinger, Rüdiger Reischuk, Christian Scheideler, Heribert Vollmer, Dorothea Wagner
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Publisher: Springer Science & Business Media
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Published Date: December 10, 2010
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Page Count: 406.0
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Print Type: BOOK
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Categories: Science
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Maturity Rating: NOT_MATURE
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Language: en
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In Algorithms Unlocked, Thomas H. Cormen, coauthor of the leading college textbook on computer algorithms, presents an engaging guide for nonexperts to the fascinating world of algorithms. From GPS navigation to secure online transactions, this book unravels the mysteries of how computers solve complex problems in mere seconds.
Readers will discover the basics of computer algorithms, including simple ways to search for information, methods for rearranging data into specific order, solving problems through graphs, tackling string problems like DNA analysis, and the fundamental principles of cryptography and data compression. Furthermore, the book reveals that some complex problems remain unsolvable by modern computers in reasonable time.
With a page count of 237 and minimal mathematics, Algorithms Unlocked is accessible and enlightening for anyone curious about the intricacies of algorithms. This MIT Press publication is an essential read for tech enthusiasts, data geeks, and anyone seeking to demystify the powerful problem-solving capabilities of computers.
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Authors: Thomas H. Cormen
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Publisher: MIT Press
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Published Date: March 01, 2013
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Page Count: 237.0
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Print Type: BOOK
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Categories: Computers
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Average Rating: 5.0
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Ratings Count: 1.0
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Maturity Rating: NOT_MATURE
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Language: en
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"Algorithms, Part II" is the esteemed second part of Robert Sedgewick and Kevin Wayne's fourth edition of Algorithms, the renowned textbook on algorithms utilized widely in colleges and universities across the globe. This edition covers Chapters 4 through 6 of the book, offering an extensive exploration of essential data structures and algorithms. "Algorithms, Part II" presents fifty algorithms every programmer should know, delving into sorting, searching, graph processing, and string processing.
The authors have employed an accessible modular programming style, ensuring all code is made accessible to the reader. The book's content transcends the realm of professional programming and computer science; it is invaluable for students with interests in science, mathematics, and engineering, as well as those utilizing computation in the liberal arts.
The companion web site algs4. cs. princeton. edu provides supplementary materials, including full Java implementations, test data, exercises and answers, dynamic visualizations, lecture slides, and programming assignments. The authors of "Algorithms, Part II" are at the forefront of a modern approach to knowledge dissemination, seamlessly integrating technology to provide a distinctive and innovative educational experience.
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Authors: Robert Sedgewick, Kevin Wayne
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Publisher: Addison-Wesley Professional
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Published Date: February 01, 2014
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Page Count: 971.0
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Part I
"Algorithms: Part I", the first part of the renowned fourth edition of the leading textbook on algorithms by Robert Sedgewick and Kevin Wayne, offers an in-depth exploration into the most essential computer algorithms currently in use. This edition is widely popular and utilized in numerous colleges and universities worldwide.
From sorting to searching, graph processing to string processing, Algorithms presents fifty crucial algorithms every programmer should be familiar with. Written in an accessible modular programming style, it provides the complete code for users to understand and utilize. The book's companion website (algs4. cs. princeton. edu) offers additional resources, including full Java implementations, test data, exercises, answers, dynamic visualizations, and lecture slides, as well as links to related materials.
It also hosts a massive open online course (MOOC), attracting tens of thousands of registrants each semester. This innovative integration of textbook, online resources, and MOOC has constructed a transformative educational experience for global learners.
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Authors: Robert Sedgewick, Kevin Wayne
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Publisher: Addison-Wesley Professional
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Published Date: February 01, 2014
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Page Count: 827.0
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Print Type: BOOK
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Categories: Computers
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Average Rating: 1.0
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Ratings Count: 1.0
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Maturity Rating: NOT_MATURE
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Language: en
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From Theory to Algorithms
Dive into the fascinating world of machine learning with the authors Shai Shalev-Shwartz and Shai Ben-David. This comprehensive guide, "Understanding Machine Learning: From Theory to Algorithms, " is a must-read for anyone seeking to grasp the fundamental concepts and applications of this rapidly evolving field. The book meticulously outlines the principles and methodologies that underpin automated learning approaches, providing readers with a deep understanding of their underlying considerations and potential implications.
With its accessible language and engaging content, "Understanding Machine Learning" deftly navigates the complexities of its subject matter, enabling you to confidently explore the realm of AI algorithms and technologies. A valuable addition to any computer science library, this 415-page book promises an enlightening journey through the algorithmic paradigms of machine learning. Whether you're a novice or an experienced researcher, prepare to be captivated by the captivating world of machine learning as you delve into its fascinating theory and practice. So, if you're ready to embark on a rewarding intellectual adventure, "Understanding Machine Learning" is your definitive guide.
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Authors: Shai Shalev-Shwartz, Shai Ben-David
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Publisher: Cambridge University Press
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Published Date: May 19, 2014
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Page Count: 415.0
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Print Type: BOOK
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Categories: Computers
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Average Rating: 5.0
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Ratings Count: 2.0
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Maturity Rating: NOT_MATURE
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Language: en
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Recipes for Scaling Up with Hadoop and Spark
Enter the fascinating world of data algorithms with Dr. Mahmoud Parsian's "Data Algorithms: Recipes for Scaling Up with Hadoop and Spark. " Designed for those eager to tackle large-scale data processing, this comprehensive book guides you through the MapReduce framework using Apache Hadoop or Apache Spark. Each chapter offers practical solutions to monumental computational problems, such as recommendation systems.
Experience a step-by-step approach to implementing MapReduce solutions, with code that can be applied to your projects. Discover key design patterns, optimization techniques, and data mining and machine learning solutions for problems in bioinformatics, genomics, statistics, and social network analysis.
Delve into fascinating topics, including market basket analysis, data mining algorithms, and genomic data sequencing using DNA and RNA. Explore the Naive Bayes theorem, Markov chains, and linear regression. Additionally, delve into allelic frequency and DNA mining. Discover the power of social network analysis - recommendation systems, counting triangles, sentiment analysis, and more.
As a bonus, this book also provides an overview of MapReduce, Hadoop, and Spark, ensuring a comprehensive understanding of these powerful tools. With a total of 778 pages, "Data Algorithms" is a must-read for anyone looking to scale up their algorithms and tackle complex data problems. Published by O'Reilly Media, Inc. , this book is your trusted guide to the realm of big data.
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Authors: Mahmoud Parsian
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Publisher: "O'Reilly Media, Inc."
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Published Date: July 13, 2015
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Page Count: 778.0
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Print Type: BOOK
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Categories: COMPUTERS
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Maturity Rating: NOT_MATURE
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Language: en
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Unveil the mysteries of Parameterized Algorithms with this all-inclusive textbook, a self-contained compass for grasping the bedrock principles and practices in the domain. Written by a team of distinguished experts, this volume is a crucial asset for graduate students and advanced undergraduate learners with a thirst for delving deeper into the exhilarating world of fixed-parameter tractability.
Starting with an outline of rudimentary techniques in Part I, each chapter explores a diverse algorithmic paradigm, serving as an ideal foundation for a course on the subject. Part II ventures further into sophisticated and niche algorithmic concepts, showcasing the forefront of current research. Furthermore, Part III delves into complexity results and lower bounds, offering refutation through W[1]-hardness, the Exponential Time Hypothesis, and kernelization lower bounds.
Brimming with exercises, hints, and bibliographic references pointing to primary sources and related work, this book offers a manageable and up-to-date perspective on Parameterized Algorithms, encompassing the field's recent advancements, including the application of critical separators, branching based on linear programming, Cut & Count algorithms, representative families of matroids, and more.
Do not let this opportunity pass by; delve into the latest tendencies and pioneering strategies in Parameterized Algorithms. Stretch across 613 pages of profound insights, this book is the ideal companion for anyone aiming to remain at the forefront of the dynamic world of computer science.
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Authors: Marek Cygan, Fedor V. Fomin, Łukasz Kowalik, Daniel Lokshtanov, Dániel Marx, Marcin Pilipczuk, Michał Pilipczuk, Saket Saurabh
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Publisher: Springer
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Published Date: July 20, 2015
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Page Count: 613.0
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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A Beginner's Guide
"Real-World Algorithms: A Beginner's Guide" by Panos Louridas, published by MIT Press, is a comprehensive guide for individuals with little to no background in advanced mathematics or computer science. The book dives into the complexities of algorithms, highlighting their role in simplifying and automating everyday tasks. From speech recognition and text translation to categorizing documents and predicting weather patterns, this guide covers a wide range of applicable algorithms demonstrated through real-world problems.
Designed for readers comfortable with mathematical fundamentals and the basics of computer operations, "Real-World Algorithms" is an accessible introduction to concepts including compression, cryptography, graphs, searching and sorting, hashing, classification, strings, and chance. Each chapter presents a real-world problem and provides algorithms as solutions. The book further emphasizes its applicability across various disciplines, from economics to applied sciences, making it a valuable resource for students and professionals alike.
With a page count of 527 and published in 2017, "Real-World Algorithms" demonstrates the power and practicality of algorithms through a diverse range of examples, illustrating their versatility and impact in our daily lives. Whether you're a computer science major seeking foundational knowledge or a professional seeking to expand your skillset, this book provides you with a solid understanding of real-world algorithms.
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Authors: Panos Louridas
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Publisher: MIT Press
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Published Date: March 17, 2017
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Page Count: 527.0
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Transform your understanding of data science with 'Machine Learning Algorithms, ' a comprehensive guide that offers a strong foundation for entering the world of machine learning and data science. Filled with concept-rich, yet highly practical content, this book serves as a one-stop solution for learning everything that matters in mastering the implementation of various machine learning algorithms.
Designed for IT professionals looking to break into the field of data science, this book requires familiarity with languages such as R and Python. It offers in-depth insights into important elements of machine learning, feature selection and feature engineering processes, and how to manage performance and error trade-offs for linear regression.
This guide not only covers algorithms like linear regression, logistic regression, SVM, Naive Bayes, K-means, random forest, TensorFlow, and feature engineering but also delves into the concept of natural processing language and recommendation systems. With real-world examples and a step-by-step approach, 'Machine Learning Algorithms' makes it easy for you to understand and apply machine learning algorithms to solve complex data-driven problems.
By the end of this book, you will have gained the knowledge to select machine learning algorithms for clustering, classification, or regression tasks, ready to apply your newfound expertise in the dynamic world of data science.
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Authors: Giuseppe Bonaccorso
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Publisher: Packt Publishing Ltd
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Published Date: July 24, 2017
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Page Count: 360.0
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Print Type: BOOK
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Categories: Computers
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Average Rating: 4.5
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Ratings Count: 2.0
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Maturity Rating: NOT_MATURE
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Language: en
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How Search Engines Reinforce Racism
Algorithms of Oppression: How Search Engines Reinforce Racism is a timely and thought-provoking book by Safiya Umoja Noble. In this compelling work, she uncovers the hidden ways in which search engines reinforce and perpetuate systemic racism. The author delves into the inner workings of algorithms and the pernicious impact they have on our society, specifically examining the portrayal of marginalized communities, including Black girls, in digital spaces.
Algorithms of Oppression challenges us to reconsider the power of these seemingly neutral tools and confront the ways in which they reinforce and perpetuate racist ideologies. From the societal implications of these algorithms to the future of knowledge in the public sphere, this book sheds light on the urgent need for critical reflection and change in the digital realm.
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Authors: Safiya Umoja Noble
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Publisher: NYU Press
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Published Date: February 20, 2018
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Page Count: 245.0
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Print Type: BOOK
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Categories: Computers
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Average Rating: 5.0
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Ratings Count: 1.0
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Maturity Rating: NOT_MATURE
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Language: en
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In the rapidly evolving digital landscape, algorithms have emerged as a fascinating and influential force shaping our social interactions and experiences. The Social Power of Algorithms delves into this complex domain, exploring the intricate relationship between algorithms and power. This engaging book offers readers a captivating journey into the world of algorithms, revealing their profound impact on our social and technological environments.
The authors, led by David Beer, meticulously dissect the ways in which algorithms shape our lives, exposing the often-unnoticed connections between digital code and human behavior. Through thought-provoking analyses and vivid examples, Beer demonstrates how algorithms determine our everyday experiences, from social media interactions to online advertising.
A must-read for social science enthusiasts, The Social Power of Algorithms is both a critique and celebration of the digital realm. It challenges prevalent notions of power and authority by examining the algorithms that lie at the heart of digital society. By weaving together concepts and approaches from diverse fields, this book presents a comprehensive and insightful exploration of a topic essential to understanding our modern world. Originally a special issue of Information, Communication & Society, this collection of groundbreaking essays promises a riveting experience for readers looking to engage with the cutting-edge of algorithmic influence.
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Authors: David Beer
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Publisher: Routledge
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Published Date: October 23, 2019
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Page Count: 329.0
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Print Type: BOOK
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Categories: Language Arts & Disciplines
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Maturity Rating: NOT_MATURE
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Language: en
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Dive into the captivating world of algorithms with "Algorithms from THE BOOK. " This comprehensive text, perfect for first-year graduate and advanced undergraduate students, as well as professionals in math, physics, engineering, and quantitative fields of biology and social sciences, showcases the most famous and successful algorithms across various disciplines.
"Algorithms from THE BOOK" presents these complex algorithms in an approachable, step-by-step manner, with clear, instructive language backed by mathematical rigor. The authors' expertise shines through as they guide readers in dissecting the beauty of beautiful mathematics.
Each chapter concludes with a variety of classroom-tested exercises and background material often omitted from undergraduate courses. Moreover, the text provides Julia code samples - a powerful language for scientific computing - allowing readers to experiment with the algorithms right away.
Embrace the pervasive nature of algorithms and prepare to explore the intricacies behind the innovative solutions offered in "Algorithms from THE BOOK. "
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Authors: Kenneth Lange
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Publisher: SIAM
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Published Date: May 04, 2020
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Page Count: 227.0
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Print Type: BOOK
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Categories: Mathematics
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Maturity Rating: NOT_MATURE
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Language: en
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A Common-Sense Guide to Data Structures and Algorithms, Second Edition is a practical, accessible guide for software developers seeking to improve their code's performance and scalability. This book takes an approachable yet in-depth look at algorithms and data structures, providing real-world examples and techniques in JavaScript, Python, and Ruby.
Author Jay Wengrow shares insights into mastering these concepts, with new chapters on recursion, dynamic programming, and Big O implementation. Readers will learn the importance of understanding Big O notation, identifying inefficiencies, and optimizing algorithms for faster execution.
The book also delves into the impact of data structure choices on code, exploring options like arrays, linked lists, and hash tables. Advanced data structures such as binary trees and graphs are also covered, offering insights into efficient problem-solving in specialized applications.
Practical exercises accompany each chapter, allowing readers to apply their knowledge and receive detailed solutions. By following this guide, software developers can transform their code into more efficient, scalable solutions, making a significant impact on modern web and mobile applications.
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Authors: Jay Wengrow
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Publisher: Pragmatic Bookshelf
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Published Date: August 10, 2020
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Page Count: 714.0
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Unlock the mysteries of algorithms with Panos Louridas' comprehensive guide, Algorithms. Published in 2020 by MIT Press, this essential knowledge series delves into the world of algorithms, providing readers with a clear understanding of what they are and how they work. With a focus on making the content accessible to non-specialist readers, Louridas offers a wealth of examples that range across digital technologies, from search engines to DNA sequencing, tournament scheduling, and machine learning.
Algorithms are sets of instructions vital to the functioning of digital technology, and as our world becomes increasingly reliant on it, every educated person should have a basic grasp of algorithms and their applications. Louridas' book aims to be the go-to resource for those looking to decipher the intricacies of algorithms, all while keeping the mathematical complexities to a minimum. Don't miss out on this vital guide to understanding algorithms – the backbone of our digital world – with 314 pages of well-rounded knowledge.
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Authors: Panos Louridas
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Publisher: MIT Press
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Published Date: August 18, 2020
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Page Count: 314.0
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Ground-Truthing, Programming, Formulating
"The Constitution of Algorithms" takes readers on a fascinating journey into the world of algorithms. With a focus on ground-truthing and programming, this book explores how these complex concepts come into existence.
By offering a fresh perspective on computerized methods and the ways in which algorithms are constituted, Florian Jaton's work sheds light on the practical activities involved in their formation. Delving into the intricacies of big data, machine learning, and artificial intelligence, this compelling study presents an essential framework for understanding the algorithms that shape our daily lives. Packed with enlightening insights, this 401-page opus by MIT Press is a must-read for anyone interested in the intriguing world of algorithms.
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Authors: Florian Jaton
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Publisher: MIT Press
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Published Date: April 27, 2021
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Page Count: 401.0
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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"Decision Making Algorithms: A Comprehensive Guide" is an extensive textbook that explores the realm of algorithms designed for decision-making in uncertain situations. This book spans a diverse range of applications, from avoiding aircraft collisions to cancer screening, offering an illuminating introduction to the algorithms and mathematical problem formulations employed in automated decision-making systems.
Authored by Mykel J. Kochenderfer, Tim A. Wheeler, and Kyle H. Wray, the text delves into straightforward decisions at a single instance, sequential decision problems in stochastic settings, model uncertainty, state uncertainty, and decision scenarios involving numerous agents. The primary focus lies on planning and reinforcement learning, with certain techniques incorporating aspects of supervised learning and optimization.
Boasting over 700 pages, this book serves as a rigorous reference for those with an interest in decision-making algorithms. Filled with figures, examples, and exercises, it offers clear explanations of various approaches in the realm of decision-making under uncertainty. "Decision Making Algorithms: A Comprehensive Guide" is developed using the Julia programming language and is published by MIT Press.
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Authors: Mykel J. Kochenderfer, Tim A. Wheeler, Kyle H. Wray
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Publisher: MIT Press
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Published Date: August 16, 2022
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Page Count: 701.0
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en
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Are you ready to dive into the fascinating realm of algorithms but unsure of where to commence? Look no further than Jeff Edmonds' "How to Think about Algorithms" - the ultimate textbook for both students and professionals!
In this revised edition, the author masterfully simplifies a topic that is often perceived as intimidating, offering a comprehensive guide to practical algorithm design. Students can confidently grasp fundamental concepts while benefiting from expert advice on common mistakes. By providing a broader perspective, this book enables students to truly understand algorithms and their numerous applications, ultimately empowering them to become well-rounded professionals in the field.
The second edition of "How to Think about Algorithms" introduces new content on machine learning algorithms, offering concise summaries at the end of each section for quick reference. Over 150 new exercises are meticulously curated, with selected solutions provided for students to track their progress, and a comprehensive solutions manual available online for instructors.
What sets Edmonds' book apart is its exceptional ability to explain intricate topics such as loop invariants, thereby promoting critical thinking in students and assisting them in developing their own approach to algorithm design. Regardless of whether you are a beginner or an experienced programmer, "How to Think about Algorithms" promises an enlightening and engaging reading experience, merging theory and practice flawlessly!
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Authors: Jeff Edmonds
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Publisher: Cambridge University Press
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Published Date: February 29, 2024
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Page Count: 618.0
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Print Type: BOOK
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Categories: Computers
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Maturity Rating: NOT_MATURE
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Language: en