Data algorithms (Plus de 8 800 résultats)

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Hardback. Etat : Good. Offers an approach to fundamental data structures and algorithms. This work provides a comprehensive introduction to data structures and algorithms, including their design, analysis, and implementation. It presents data structure using ADTs and their respective implementations.…

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Hardback. Etat : Very Good. The essential playbook for the future of your business What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy.

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Hardback. Etat : Good. The essential playbook for the future of your business What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy.

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Hardback. Etat : Fair. The authors' treatment of data structures in Data Structures and Algorithms is unified by an informal notion of "abstract data types," allowing readers to compare different implementations of the same concept. Algorithm design techniques are also stressed and basic algorithm analysis is covered. Most of the programs are written in Pascal.…

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Hardback. Etat : Good. The authors' treatment of data structures in Data Structures and Algorithms is unified by an informal notion of "abstract data types," allowing readers to compare different implementations of the same concept. Algorithm design techniques are also stressed and basic algorithm analysis is covered. Most of the programs are written in Pascal.…

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Etat : Fair. This text focuses on classes as a particular implementation of an abstract data type and presents key concepts in the context of topics that students may encounter.

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Paperback. Etat : Good. As one of the most comprehensive machine learning texts around, this book does justice to the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's clear, example-based approach begins by discussing how a spam filter works, which gives an immediate introduction to machine learning in action, with a minimum of technical fuss. Flach provides case studies of increasing complexity and variety with well-chosen examples and illustrations throughout. He covers a wide range of logical, geometric and statistical models and state-of-the-art topics such as matrix factorisation and ROC analysis. Particular attention is paid to the central role played by features. The use of established terminology is balanced with the introduction of new and useful concepts, and summaries of relevant background material are provided with pointers for revision if necessary. These features ensure Machine Learning will set a new standard as an introductory textbook.…

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Etat : acceptable. This copy has clearly been enjoyedâ"expect noticeable shelf wear and some minor creases to the cover. Binding is strong, and all pages are legible. May contain previous library markings or stamps.

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Etat : good. Fast Free Shipping â" Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy.

Langue : anglais
Edité par Soundlikeyourself Publishing, LLC, 2018
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Paperback. Etat : Very Good.

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Etat : Good. Item in good condition. Textbooks may not include supplemental items i.e. CDs, access codes etc.

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Etat : Very Good. Item in very good condition! Textbooks may not include supplemental items i.e. CDs, access codes etc.

Langue : anglais
Edité par Soundlikeyourself Publishing, LLC, 2018
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Paperback. Etat : Good.

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Etat : Good. A sound copy with only light wear. Overall a solid copy at a great price.

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Etat : Good. Item in good condition and has highlighting/writing on text. Used texts may not contain supplemental items such as CDs, info-trac etc.

Langue : anglais
Edité par Pearson Education Limited, 1998
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Paperback. Etat : Good. Robert Sedgewick has thoroughly rewritten and substantially expanded and updated his popular work to provide current and comprehensive coverage of important algorithms and data structures. Christopher Van Wyk and Sedgewick have developed new C++ implementations that both express the methods in a concise and direct manner, and also provide programmers with the practical means to test them on real applications. Many new algorithms are presented, and the explanations of each algorithm are much more detailed than in previous editions. A new text design and detailed, innovative figures, with accompanying commentary, greatly enhance the presentation. The third edition retains the successful blend of theory and practice that has made Sedgewick's work an invaluable resource for more than 250,000 programmers! This particular book, Parts 1n4, represents the essential first half of Sedgewick's complete work. It provides extensive coverage of fundamental data structures and algorithms for sorting, searching, and related applications. Although the substance of the book applies to programming in any language, the implementations by Van Wyk and Sedgewick also exploit the natural match between C++ classes and ADT implementations. Highlights Expanded coverage of arrays, linked lists, strings, trees, and other basic data structures Greater emphasis on abstract data types (ADTs), modular programming, object-oriented programming, and C++ classes than in previous editions Over 100 algorithms for sorting, selection, priority queue ADT implementations, and symbol table ADT (searching) implementations New implementations of binomial queues, multiway radix sorting, randomized BSTs, splay trees, skip lists, multiway tries, B trees, extendible hashing, and much more Increased quantitative information about the algorithms, giving you a basis for comparing them Over 1000 new exercises to help you learn the properties of algorithms Whether you are learning the algorithms for the first time or wish to have up-to-date reference material that incorporates new programming styles with classic and new algorithms, you will find a wealth of useful information in this book.…

Langue : anglais
Edité par Addison-Wesley Professional, 1998
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Etat : very_good. Pages are clean with no markings. May show minor signs of wear or cosmetic defects marks, cuts, bends, or scuffs on the cover, spine, pages, or dust jacket. May have remainder marks on edges.

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hardcover. Etat : Acceptable.

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Etat : Good. This text focuses on classes as a particular implementation of an abstract data type and presents key concepts in the context of topics that students may encounter.

Langue : anglais
Edité par CreateSpace Independent Publishing Platform (edition ), 2015
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Paperback. Etat : Fair. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.

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Etat : very_good. Fast Free Shipping â" Very Good condition book with a firm cover and clean pages. Shows normal use and some light wear or limited notes markings. A solid, nice copy to enjoy.

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Hardback. Etat : Good. The pressure to "be digital" has never been greater, but you can meet the challenge.The digital revolution is here, changing how work gets done, how industries are structured, and how people from all walks of life work, behave, and relate to each other. To thrive in a world driven by data and powered by algorithms, we must learn to see, think, and act in new ways. We need to develop a digital mindset.But what does that mean? Some fear it means that we all need to become technologists who master the intricacies of coding, algorithms, AI, machine learning, robotics, and who-knows-what's-next.That's not the case. You can develop a digital mindset, and this book shows you how. It introduces three approaches?Collaboration, Computation, and Change?and the perspectives and actions within each approach that will enable you to develop the digital skills you need. With a digital mindset, you'll ask the right questions, make smart decisions, and appreciate new possibilities for a digital future. Leaders who adopt these approaches will be able to develop their organization's talent and prepare their company for successful and continued digital transformation.Award-winning researchers and professors Paul Leonardi and Tsedal Neeley will show you how to do it and let you in on the surprising and welcome secret: developing a digital mindset isn't as hard as you think. Most people can become digitally savvy if they follow the "30 percent rule"?the minimum threshold that gives us enough digital literacy to understand and take advantage of the digital threads woven into the fabric of our world.A digital mindset will future-proof you, your career, and your organization. Learn how to develop one here.…