| title | slug | description | recommendation | authors | published | cover | language | links | difficulty | pricing | ||||||||||||||
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OCaml Scientific Computing |
ocaml-scientific-computing |
Shows how the expressiveness of OCaml allows for fast and safe development of data science applications.
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This book merges functional programming in OCaml with numerical computation, tailored for data science and AI. It's ideal for those familiar with functional programming, offering a mix of foundational concepts and advanced cloud computing techniques. The structure allows readers to choose topics of interest, making it a versatile guide for learning and applying scientific computing.
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2022-05-27 |
books/ocaml-scientific-computing.png |
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advanced |
paid |
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.
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.