Algoritmer & datastrukturer

Aldrig tidigare i världshistorien har det samlats in lika mycket data som idag. Men vad ska vi ha den till? I Algoritmmakaren argumenterar nationalekonomen Tommy Andersson för att data kan användas för att fatta bättre och mer välgrundade beslut i...

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A fascinating exploration of how computer algorithms can be applied to our everyday lives. In this dazzlingly interdisciplinary work, acclaimed author Brian Christian and cognitive scientist Tom Griffiths show us how the simple, precise algorithms...

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NEW YORK TIMES AND SUNDAY TIMES BUSINESS BESTSELLER SHORTLISTED FOR THE FT AND MCKINSEY BUSINESS BOOK OF THE YEAR AWARD 2019 'Reads more like a delicious page-turning novel...Put it on your holiday gift list for your favourite hedge-fund honcho' B...

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Proofs play a central role in advanced mathematics and theoretical computer science, yet many students struggle the first time they take a course in which proofs play a significant role. This bestselling text's third edition helps students transit...

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"This is the first book that promises to tell the deep, dark secrets of computer arithmetic, and it delivers in spades. It contains every trick I knew plus many, many more. A godsend for library developers, compiler writers, and lovers of elegant ...

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_______________ 'One of the best books yet written on data and algorithms. . .deserves a place on the bestseller charts.' (The Times) You are accused of a crime. Who would you rather determined your fate - a human or an algorithm? An algorithm is ...

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'A manual for the 21st-century citizen... accessible, refreshingly critical, relevant and urgent' - Financial Times 'Fascinating and deeply disturbing' - Yuval Noah Harari, Guardian Books of the Year In this New York Times bestseller, Cathy O'Neil...

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This book deals with several aspects of what is now called "explicit number theory." The central theme is the solution of Diophantine equations, i.e., equations or systems of polynomial equations which must be solved in integers, rational numbers ...

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LEARN HOW TO USE DATA STRUCTURES IN WRITING HIGH PERFORMANCE PYTHON PROGRAMS AND ALGORITHMS This practical introduction to data structures and algorithms can help every programmer who wants to write more efficient software. Building on Robert Lafo...

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The central theme of this book is the solution of Diophantine equations, i.e., equations or systems of polynomial equations which must be solved in integers, rational numbers or more generally in algebraic numbers. This theme, in particular, is th...

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Meet the people who design the algorithms that capture our musical tastes. ¿ The people who make music recommender systems have lofty goals: they want to broaden listeners' horizons and help obscure musicians find audiences, taking advantage of th...

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Now Includes the Long-Anticipated Volume 4B! Countless readers have spoken about the profound personal influence of Knuth's work. Scientists have marveled at the beauty and elegance of his analysis, while ordinary programmers have successfully app...

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First published in 1975, this classic book gives a systematic account of transcendental number theory, that is, the theory of those numbers that cannot be expressed as the roots of algebraic equations having rational coefficients. Their study has ...

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This book offers a comprehensive introduction to the central ideas that underpin deep learning. It is intended both for newcomers to machine learning and for those already experienced in the field. Covering key concepts relating to contemporary ar...

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Buying groceries, tracking our health, finding a date: whatever we want to do, odds are that we can now do it online. But few of us ask how all these digital products are designed or why. It's time we changed that. Many of the services we rely on ...

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A friendly, fully-illustrated introduction to the most important computer programming algorithms. The algorithms you'll use most often as a programmer have already been discovered, tested, and proven. This book will prepare you for those pesky alg...

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"My absolute favorite for this kind of interview preparation is Steven Skiena's The Algorithm Design Manual. More than any other book it helped me understand just how astonishingly commonplace ? graph problems are -- they should be part of every w...

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'Pedro Domingos demystifies machine learning and shows how wondrous and exciting the future will be' Walter Isaacson, author of Steve Jobs Society is changing, one learning algorithm at a time, from search engines to online dating, personalized me...

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This seminal volume offers an interdisciplinary exploration into the rapidly evolving field of artificial intelligence and its societal implications. Written by leading scholars Soenke Ziesche and Roman V. Yampolskiy, the book delves into a multit...

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Amidst the rampant use of algorithmization enabled by AI, the common theme of AI systems is the human factor. Humans play an essential role in designing, developing, and operationalizing AI systems. We have a remit to ensure those systems run tran...

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When properly applied, randomness can be a powerful tool in programming, science, and art. This highly practical but geekily fun introduction to randomness shows you how to put chaos to work, illustrating its ability to power everything from the s...

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Deep Learning models are at the core of artificial intelligence research today. It is well known that deep learning techniques are disruptive for Euclidean data, such as images or sequence data, and not immediately applicable to graph-structured d...

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Beginning Oracle SQL is your introduction to the interactive query tools and specific dialect of SQL used with Oracle Database. These tools include SQL*Plus and SQL Developer. SQL*Plus is the one tool any Oracle developer or database administrator...

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The bible of all fundamental algorithms and the work that taught many of today's software developers most of what they know about computer programming. -Byte, September 1995 ¿ I can't begin to tell you how many pleasurable hours of study and recre...

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What if an algorithm could predict which manuscripts would become mega-bestsellers?Girl on the Train. Fifty Shades. The Goldfinch. Why do some books capture the whole world's attention? What secret DNA do they share? In The Bestseller Code, Archer...

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Data Structures and Algorithm Analysis in Java is an advanced algorithms book that fits between traditional CS2 and Algorithms Analysis courses. In the old ACM Curriculum Guidelines, this course was known as CS7. It is also suitable for a first-ye...

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