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Author : Christopher Slobogin
Publisher : Cambridge University Press
Page : 183 pages
File Size : 43,7 Mb
Release : 2021-07-29
Category : Computers
ISBN : 9781108833974
Properly developed algorithms can reduce incarceration and help policymakers adopt more legally sophisticated bail and sentencing practices.
Author : Safiya Umoja Noble
Publisher : NYU Press
Page : 245 pages
File Size : 54,8 Mb
Release : 2018-02-20
Category : Computers
ISBN : 9781479837243
Acknowledgments -- Introduction: the power of algorithms -- A society, searching -- Searching for Black girls -- Searching for people and communities -- Searching for protections from search engines -- The future of knowledge in the public -- The future of information culture -- Conclusion: algorithms of oppression -- Epilogue -- Notes -- Bibliography -- Index -- About the author
Author : Daniel Zingaro
Publisher : No Starch Press
Page : 409 pages
File Size : 55,8 Mb
Release : 2020-12-15
Category : Computers
ISBN : 9781718500815
A hands-on, problem-based introduction to building algorithms and data structures to solve problems with a computer. Algorithmic Thinking will teach you how to solve challenging programming problems and design your own algorithms. Daniel Zingaro, a master teacher, draws his examples from world-class programming competitions like USACO and IOI. You'll learn how to classify problems, choose data structures, and identify appropriate algorithms. You'll also learn how your choice of data structure, whether a hash table, heap, or tree, can affect runtime and speed up your algorithms; and how to adopt powerful strategies like recursion, dynamic programming, and binary search to solve challenging problems. Line-by-line breakdowns of the code will teach you how to use algorithms and data structures like: The breadth-first search algorithm to find the optimal way to play a board game or find the best way to translate a book Dijkstra's algorithm to determine how many mice can exit a maze or the number of fastest routes between two locations The union-find data structure to answer questions about connections in a social network or determine who are friends or enemies The heap data structure to determine the amount of money given away in a promotion The hash-table data structure to determine whether snowflakes are unique or identify compound words in a dictionary NOTE: Each problem in this book is available on a programming-judge website. You'll find the site's URL and problem ID in the description. What's better than a free correctness check?
Author : Joanna Jozefowska
Publisher : Springer Science & Business Media
Page : 266 pages
File Size : 55,5 Mb
Release : 2007-08-08
Category : Technology & Engineering
ISBN : 9780387717173
As supply chain management has matured, maintaining the precise flow of goods to manage schedules (and minimize inventories) on a just-in-time basis still presents major challenges. This has inspired an array of models and algorithms to help ensure the precise flow of components and final products into inventories to meet just-in-time requirements. This is the first survey of the theoretical work on computer systems models and algorithms utilized in just-in-time scheduling.
Author : Bernadete Ribeiro
Publisher : Springer Science & Business Media
Page : 568 pages
File Size : 44,7 Mb
Release : 2005-03-08
Category : Computers
ISBN : 3211249346
The papers in this volume present theoretical insights and report practical applications both for neural networks, genetic algorithms and evolutionary computation. In the field of natural computing, swarm optimization, bioinformatics and computational biology contributions are no less compelling. A wide selection of contributions report applications of neural networks to process engineering, robotics and control. Contributions also abound in the field of evolutionary computation particularly in combinatorial and optimization problems. Many papers are dedicated to machine learning and heuristics, hybrid intelligent systems and soft computing applications. Some papers are devoted to quantum computation. In addition, kernel based algorithms, able to solve tasks other than classification, represent a revolution in pattern recognition bridging existing gaps. Further topics are intelligent signal processing and computer vision.
Author : Robert Sedgewick
Publisher : Addison Wesley Publishing Company
Page : 680 pages
File Size : 47,9 Mb
Release : 1988
Category : Computers
ISBN : UOM:39015049095162
Software -- Programming Techniques.
Author : FrankWerner,Larysa Burtseva,Yuri Sotskov MDPI
Publisher : MDPI
Page : 209 pages
File Size : 53,5 Mb
Release : 2018-08-24
Category : Electronic
ISBN : 9783038971191
This book is a printed edition of the Special Issue " Algorithms for Scheduling Problems" that was published in Algorithms
Author : James Luke,David Porter,Padmanabhan Santhanam
Publisher : CRC Press
Page : 343 pages
File Size : 53,6 Mb
Release : 2022-05-30
Category : Computers
ISBN : 9781000581973
With so much artificial intelligence (AI) in the headlines, it is no surprise that businesses are scrambling to exploit this exciting and transformative technology. Clearly, those who are the first to deliver business-relevant AI will gain significant advantage. However, there is a problem! Our perception of AI success in society is primarily based on our experiences with consumer applications from the big web companies. The adoption of AI in the enterprise has been slow due to various challenges. Business applications address far more complex problems and the data needed to address them is less plentiful. There is also the critical need for alignment of AI with relevant business processes. In addition, the use of AI requires new engineering practices for application maintenance and trust. So, how do you deliver working AI applications in the enterprise? Beyond Algorithms: Delivering AI for Business answers this question. Written by three engineers with decades of experience in AI (and all the scars that come with that), this book explains what it takes to define, manage, engineer, and deliver end-to-end AI applications that work. This book presents: Core conceptual differences between AI and traditional business applications A new methodology that helps to prioritise AI projects and manage risks Practical case studies and examples with a focus on business impact and solution delivery Technical Deep Dives and Thought Experiments designed to challenge your brain and destroy your weekends
Author : Pawel Cichosz
Publisher : John Wiley & Sons
Page : 717 pages
File Size : 50,9 Mb
Release : 2015-01-27
Category : Mathematics
ISBN : 9781118332580
Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles. The author presents many of the important topics and methodologies widely used in data mining, whilst demonstrating the internal operation and usage of data mining algorithms using examples in R.
Author : Thomas H. Cormen,Charles E. Leiserson,Ronald L. Rivest,Clifford Stein
Publisher : MIT Press
Page : 1313 pages
File Size : 55,6 Mb
Release : 2022-04-05
Category : Computers
ISBN : 9780262046305
A comprehensive update of the leading algorithms text, with new material on matchings in bipartite graphs, online algorithms, machine learning, and other topics. Some books on algorithms are rigorous but incomplete; others cover masses of material but lack rigor. Introduction to Algorithms uniquely combines rigor and comprehensiveness. It covers a broad range of algorithms in depth, yet makes their design and analysis accessible to all levels of readers, with self-contained chapters and algorithms in pseudocode. Since the publication of the first edition, Introduction to Algorithms has become the leading algorithms text in universities worldwide as well as the standard reference for professionals. This fourth edition has been updated throughout. New for the fourth edition New chapters on matchings in bipartite graphs, online algorithms, and machine learning New material on topics including solving recurrence equations, hash tables, potential functions, and suffix arrays 140 new exercises and 22 new problems Reader feedback–informed improvements to old problems Clearer, more personal, and gender-neutral writing style Color added to improve visual presentation Notes, bibliography, and index updated to reflect developments in the field Website with new supplementary material Warning: Avoid counterfeit copies of Introduction to Algorithms by buying only from reputable retailers. Counterfeit and pirated copies are incomplete and contain errors.
Author : Hannah Fry
Publisher : W. W. Norton & Company
Page : 272 pages
File Size : 48,8 Mb
Release : 2018-09-18
Category : Mathematics
ISBN : 9780393635003
Shortlisted for the 2018 Royal Society Investment Science Book Prize A look inside the algorithms that are shaping our lives and the dilemmas they bring with them. If you were accused of a crime, who would you rather decide your sentence—a mathematically consistent algorithm incapable of empathy or a compassionate human judge prone to bias and error? What if you want to buy a driverless car and must choose between one programmed to save as many lives as possible and another that prioritizes the lives of its own passengers? And would you agree to share your family’s full medical history if you were told that it would help researchers find a cure for cancer? These are just some of the dilemmas that we are beginning to face as we approach the age of the algorithm, when it feels as if the machines reign supreme. Already, these lines of code are telling us what to watch, where to go, whom to date, and even whom to send to jail. But as we rely on algorithms to automate big, important decisions—in crime, justice, healthcare, transportation, and money—they raise questions about what we want our world to look like. What matters most: Helping doctors with diagnosis or preserving privacy? Protecting victims of crime or preventing innocent people being falsely accused? Hello World takes us on a tour through the good, the bad, and the downright ugly of the algorithms that surround us on a daily basis. Mathematician Hannah Fry reveals their inner workings, showing us how algorithms are written and implemented, and demonstrates the ways in which human bias can literally be written into the code. By weaving in relatable, real world stories with accessible explanations of the underlying mathematics that power algorithms, Hello World helps us to determine their power, expose their limitations, and examine whether they really are improvement on the human systems they replace.
Author : Rod Stephens
Publisher : John Wiley & Sons
Page : 1078 pages
File Size : 46,7 Mb
Release : 2019-05-15
Category : Computers
ISBN : 9781119575986
A friendly introduction to the most useful algorithms written in simple, intuitive English The revised and updated second edition of Essential Algorithms, offers an accessible introduction to computer algorithms. The book contains a description of important classical algorithms and explains when each is appropriate. The author shows how to analyze algorithms in order to understand their behavior and teaches techniques that the can be used to create new algorithms to meet future needs. The text includes useful algorithms such as: methods for manipulating common data structures, advanced data structures, network algorithms, and numerical algorithms. It also offers a variety of general problem-solving techniques. In addition to describing algorithms and approaches, the author offers details on how to analyze the performance of algorithms. The book is filled with exercises that can be used to explore ways to modify the algorithms in order to apply them to new situations. This updated edition of Essential Algorithms: Contains explanations of algorithms in simple terms, rather than complicated math Steps through powerful algorithms that can be used to solve difficult programming problems Helps prepare for programming job interviews that typically include algorithmic questions Offers methods can be applied to any programming language Includes exercises and solutions useful to both professionals and students Provides code examples updated and written in Python and C# Essential Algorithms has been updated and revised and offers professionals and students a hands-on guide to analyzing algorithms as well as the techniques and applications. The book also includes a collection of questions that may appear in a job interview. The book’s website will include reference implementations in Python and C# (which can be easily applied to Java and C++).
Author : Caroline Tagg,Mel Evans
Publisher : Walter de Gruyter GmbH & Co KG
Page : 398 pages
File Size : 51,5 Mb
Release : 2020-06-08
Category : Language Arts & Disciplines
ISBN : 9783110670837
Studies of digital communication technologies often focus on the apparently unique set of multimodal resources afforded to users and the development of innovative linguistic strategies for performing mediatised identities and maintaining online social networks. This edited volume interrogates the novelty of such practices by establishing a transhistorical approach to the study of digital communication. The transhistorical approach explores language practices as lived experiences grounded in historical contexts, and aims to identify those elements of human behaviour that transcend historical boundaries, looking beyond specific developments in communication technologies to understand the enduring motivations and social concerns that drive human communication. The volume reveals long-term patterns in the indexical functions of seemingly innovative written and multimodal resources and the ideologies that underpin them, and shows that methods are not necessarily contingent on their datasets: historical analytic frameworks can be applied to digital data and newer approaches used to understand historical data. These insights present exciting opportunities for English language researchers, both historical and modern.
Author : John Paul Mueller,Luca Massaron
Publisher : John Wiley & Sons
Page : 432 pages
File Size : 42,8 Mb
Release : 2017-04-11
Category : Computers
ISBN : 9781119330523
Discover how algorithms shape and impact our digital world All data, big or small, starts with algorithms. Algorithms are mathematical equations that determine what we see—based on our likes, dislikes, queries, views, interests, relationships, and more—online. They are, in a sense, the electronic gatekeepers to our digital, as well as our physical, world. This book demystifies the subject of algorithms so you can understand how important they are business and scientific decision making. Algorithms for Dummies is a clear and concise primer for everyday people who are interested in algorithms and how they impact our digital lives. Based on the fact that we already live in a world where algorithms are behind most of the technology we use, this book offers eye-opening information on the pervasiveness and importance of this mathematical science—how it plays out in our everyday digestion of news and entertainment, as well as in its influence on our social interactions and consumerism. Readers even learn how to program an algorithm using Python! Become well-versed in the major areas comprising algorithms Examine the incredible history behind algorithms Get familiar with real-world applications of problem-solving procedures Experience hands-on development of an algorithm from start to finish with Python If you have a nagging curiosity about why an ad for that hammock you checked out on Amazon is appearing on your Facebook page, you'll find Algorithm for Dummies to be an enlightening introduction to this integral realm of math, science, and business.
Author : Alfred R. Cowger
Publisher : Rowman & Littlefield
Page : 277 pages
File Size : 46,8 Mb
Release : 2020-10-06
Category : Law
ISBN : 9781793622921
The Threats of Algorithms and A.I. to Civil Rights, Legal Remedies, and American Jurisprudence addresses the many threats to American jurisprudence caused by the growing use of algorithms and artificial intelligence (A.I.). Although algorithms prove valuable to society, that value may also lead to the destruction of the foundations of American jurisprudence by threatening constitutional rights of individuals, creating new liabilities for business managers and board members, disrupting commerce, interfering with long-standing legal remedies, and causing chaos in courtrooms trying to adjudge lawsuits. Alfred R. Cowger, Jr. explains these threats and provides potential solutions for both the general public and legal practitioners. Scholars of legal studies, media studies, and political science will find this book particularly useful.