Can I read OCaml Scientific Computing: Functional Programming in Data Science and Artificial Intelligence (Undergraduate Topics in Computer Science) on EtoBox?

OCaml Scientific Computing: Functional Programming in Data Science and Artificial Intelligence (Undergraduate Topics in Computer Science) by Liang Wang, Jianxin Zhao, Richard Mortier is a nonfiction available to read on EtoBox.

What is OCaml Scientific Computing: Functional Programming in Data Science and Artificial Intelligence (Undergraduate Topics in Computer Science) about?

'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 cor

Who reads OCaml Scientific Computing: Functional Programming in Data Science and Artificial Intelligence (Undergraduate Topics in Computer Science)?

Author

Liang Wang, Jianxin Zhao, Richard Mortier

Publisher

Springer International Publishing AG

Published

2022

Language

EN

ISBN

9783030976453

Category

nonfiction

Subjects

Computer Science, Management, Mathematics