Practical Machine Learning with Rust : Creating Intelligent Applications in Rust

Practical Machine Learning with Rust Creating Intelligent Applications in Rust

Explore machine learning in Rust and learn about the intricacies of creating machine learning applications. This book begins by covering the important concepts of machine learning such as supervised, unsupervised, and reinforcement learning, and the basics of Rust. Further, you’ll dive into the more...

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Detalles Bibliográficos
Autor principal: Bhattacharjee, Joydeep. author (author)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Berkeley, CA : Apress 2020.
Edición:1st ed. 2020.
Materias:
Machine learning.
Open source software.
Computer programming.
Programming languages (Electronic computers).
Machine Learning.
Open Source.
Programming Languages, Compilers, Interpreters.
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631944606719
Tabla de Contenidos:
  • Chapter 1: Basics of Rust
  • Chapter 2: Supervised learning
  • Chapter 3: Unsupervised learning and Reinforcement learning
  • Chapter 4: Data Processing
  • Chapter 5: Natural Language Processing in Rust
  • Chapter 6: Computer Vision in Rust
  • Chapter 7: Deploying Machine Learning Applications.

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