Wang, Liang
OCaml Scientific Computing: Functional Programming in Data Science and Artificial Intelligence (Undergraduate Topics in Computer Science)
- ISBN 13:
- 9783030976446
- author:
- Wang, Liang
- format:
- Paperback
- publisher:
- Springer Nature Switzerland AG
- language:
- English
- Publication Year:
- 2022
- Pages:
- 359
- Dimensions:
- 2.1 x 15.5 x 15.5 centimetres (0
- Genre:
- Computers, General, Computers,
- Condition:
- New
- Availability:
- Item usually sent within 5 working days
Description
OCaml Scientific Computing Functional Programming in Data Science and Artificial Intelligence by Liang Wang, Jianxin Zhao, Richard Mortier is a comprehensive guide to harnessing the power of functional programming in OCaml for data science and artificial intelligence applications. The book explores how OCaml's expressiveness enables fast and safe development of data science applications, from basic numerical techniques to advanced optimization techniques and deep neural networks. It covers topics such as algorithmic differentiation, optimization, regression, and topic modelling in natural language processing. By dividing the content into three parts, each focusing on a different area, this book provides a structured approach to learning functional programming in OCaml for data science and AI applications.
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