Practical OCaml, Joshua B. Smith

Автор: Anil Madhavapeddy, Yaron Minsky
Название: Real World OCaml: Functional Programming for the Masses
ISBN: 100912580X ISBN-13(EAN): 9781009125802
Издательство: Cambridge Academ
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Цена: 5702.00 р.
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Описание: Real World OCaml provides thorough coverage of OCaml`s language features, starting with a lightweight guided tour, and then exploring every major feature in depth, including functors and GADTs. It is an essential guide for programmers looking to learn statically typed functional programming. Also available as open access on Cambridge Core.

Автор: Wang
Название: OCaml Scientific Computing
ISBN: 3030976440 ISBN-13(EAN): 9783030976446
Издательство: Springer
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Цена: 6986.00 р.
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Описание: 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 of Ordinary 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.

Автор: Mars Geldard, Jonathon Manning
Название: Practical Artificial Intelligence with Swift
ISBN: 1492044814 ISBN-13(EAN): 9781492044819
Издательство: Wiley
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Цена: 7602.00 р.
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Описание: Create and implement AI-based features in your Swift apps for iOS, macOS, tvOS, and watchOS. With this practical book, programmers and developers of all kinds will find a one-stop shop for AI and machine learning with Swift.