OCaml Scientific Computing: Functional Programming in Data Science and Artificial Intelligence

OCaml Scientific Computing: Functional Programming in Data Science and Artificial Intelligence

Liang Wang , Jianxin Zhao , Richard Mortier
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2022 · 英語 · キンドル · 2 版
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説明

explores the powerful capabilities of OCaml in the realms of data science and artificial intelligence. Through a collection of thoughtfully crafted examples and theoretical insights, the authors illuminate how functional programming can enhance scientific computing, making it both efficient and elegant.

Readers will discover how to leverage OCaml's unique features to tackle complex data analysis and machine learning problems. The narrative seamlessly blends practical application with foundational concepts, providing a comprehensive resource that appeals to both beginners and seasoned practitioners. As the intricacies of functional programming are unraveled, the book positions itself as a vital guide for those aiming to navigate the evolving landscape of data-driven technology.

本の詳細

形式 キンドル
言語 英語
公開されました 5月 26, 2022
出版社 Springer
ISBN-10 3030976459
ISBN-13 9783030976453

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