Buch

OCaml Scientific Computing
-Functional Programming in Data Science and Artificial Intelligence-Liang Wang; Jianxin Zhao; Richard Mortier
53,49
EUR
Lieferzeit 12-13 Tage
Übersicht
Verlag | : | Springer International Publishing |
Buchreihe | : | Undergraduate Topics in Computer Science |
Sprache | : | Englisch |
Erschienen | : | 06. 05. 2022 |
Seiten | : | 357 |
Einband | : | Kartoniert |
Höhe | : | 235 mm |
Breite | : | 155 mm |
ISBN | : | 9783030976446 |
Sprache | : | Englisch |
Autorinformation
Liang Wang is a Principal AI Architect at Nokia, a Senior Researcher at the University of Cambridge, an Intel Software Innovator, and the Chief Scientific Officer at IKVA. He has a broad research interest in artificial intelligence, machine learning, operating systems, computer networks, optimization theory, and graph theory. Jianxin Zhao is a PhD graduate from the University of Cambridge. His research interests include numerical computation, artificial intelligence, decentralized systems, and their application in the real world. Richard Mortier is a Professor in Computing and Human-Data Interaction at the University of Cambridge. He works at the intersection of systems and networking with human-computer interaction, and he currently focuses on building user-centric systems infrastructure.
Inhaltsverzeichnis
Part I: Numerical Techniques.- 1. Introduction.- 2. Numerical Algorithms.- 3. Statistics.- 4. Linear Algebra.- 5. N-Dimensional Arrays.- 6. Ordinary Differential Equations.- 7. Signal Processing.- Part II: Advanced Data Analysis Techniques.- 8. Algorithmic Differentiation.- 9. Optimisation.- 10. Regression.- 11. Neural Network.- 12. Vector Space Modelling.- Part III: Use Cases.- 13. Case Study: Image Recognition.- 14. Case Study: Instance Segmentation.- 15. Case Study: Neural Style Transfer.- 16. Case Study: Recommender System.
Pressestimmen
“This book should be read as a tutorial on the facilities of the Owl library. ... OCaml scientific computing serves as a valuable resource for computer science students embarking on their initial exploration of numerical algorithms. Whether you are diving into numerical methods for the first time or you are experienced with numerical algorithms and want to understand how to use OCaml for this purpose, this book provides practical guidance and bridges theory with hands-on implementation.” (Prahladavaradan Sampath, Computing Reviews, September 18, 2024)