Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 33,68
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Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 40,65
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Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 32,00
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Da: Chiron Media, Wallingford, Regno Unito
EUR 29,24
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 31,99
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Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 35,73
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Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
EUR 53,63
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Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 52,40
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Da: SMASS Sellers, IRVING, TX, U.S.A.
EUR 55,99
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Da: BargainBookStores, Grand Rapids, MI, U.S.A.
EUR 56,04
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Aggiungi al carrelloPaperback or Softback. Condizione: New. Ocaml Scientific Computing: Functional Programming in Data Science and Artificial Intelligence 1.18. Book.
Da: Best Price, Torrance, CA, U.S.A.
EUR 48,39
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Da: California Books, Miami, FL, U.S.A.
EUR 59,84
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Da: ALLBOOKS1, Direk, SA, Australia
EUR 60,81
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Aggiungi al carrelloBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Editore: Springer Nature Switzerland AG, 2022
ISBN 10: 3030976440 ISBN 13: 9783030976446
Lingua: Inglese
Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
Prima edizione
EUR 78,10
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Editore: Springer Nature Switzerland AG, 2022
ISBN 10: 3030976440 ISBN 13: 9783030976446
Lingua: Inglese
Da: Kennys Bookstore, Olney, MD, U.S.A.
EUR 96,54
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Editore: Springer International Publishing, 2022
ISBN 10: 3030976440 ISBN 13: 9783030976446
Lingua: Inglese
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 53,49
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book is about the harmonious synthesis of functional programming and numerical computation. It shows how the expressiveness of OCaml allows for fast and safe development of data science applications. Step by step, the authors build up to use cases drawn from many areas of Data Science, Machine Learning, and AI, and then delve into how to deploy at scale, using parallel, distributed, and accelerated frameworks to gain all the advantages of cloud computing environments.To this end, the book is divided into three parts, each focusing on a different area. Part I begins by introducing how basic numerical techniques are performed in OCaml, including classical mathematical topics (interpolation and quadrature), statistics, and linear algebra. It moves on from using only scalar values to multi-dimensional arrays, introducing the tensor and Ndarray, core data types in any numerical computing system. It concludes with two more classical numerical computing topics, the solution ofOrdinary Differential Equations (ODEs) and Signal Processing, as well as introducing the visualization module we use throughout this book. Part II is dedicated to advanced optimization techniques that are core to most current popular data science fields. We do not focus only on applications but also on the basic building blocks, starting with Algorithmic Differentiation, the most crucial building block that in turn enables Deep Neural Networks. We follow this with chapters on Optimization and Regression, also used in building Deep Neural Networks. We then introduce Deep Neural Networks as well as topic modelling in Natural Language Processing (NLP), two advanced and currently very active fields in both industry and academia. Part III collects a range of case studies demonstrating how you can build a complete numerical application quickly from scratch using Owl. The cases presented include computer vision and recommender systems. This book aims at anyone with a basic knowledge of functional programming and a desire to explore the world of scientific computing, whether to generally explore the field in the round, to build applications for particular topics, or to deep-dive into how numerical systems are constructed. It does not assume strict ordering in reading - readers can simply jump to the topic that interests them most.
Editore: Springer-Nature New York Inc, 2022
ISBN 10: 3030976440 ISBN 13: 9783030976446
Lingua: Inglese
Da: Revaluation Books, Exeter, Regno Unito
EUR 60,54
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Aggiungi al carrelloPaperback. Condizione: Brand New. 381 pages. 9.25x6.10x0.79 inches. In Stock. This item is printed on demand.