Practical Machine Learning With Rust - Bhattacharjee Joydeep | Libro Apress 12/2019 - HOEPLI.it


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Practical Machine Learning with Rust Creating Intelligent Applications in Rust




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Dettagli

Genere:Libro
Lingua: Inglese
Editore:

Apress

Pubblicazione: 12/2019
Edizione: 1st ed.





Sommario

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: Usage in other domains.

Chapter 8: Deploying Machine Learning Application.






Trama

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 specific fields of machine learning, such as computer vision and natural language processing, and look at the Rust libraries that help create applications for those domains. We will also look at how to deploy these applications either on site or over the cloud.

After reading Practical Machine Learning with Rust, you will have a solid understanding of creating high computation libraries using Rust. Armed with the knowledge of this amazing language, you will be able to create applications that are more performant, memory safe, and less resource heavy.

 

What You Will Learn

  • Write machine learning algorithms in Rust
  • Use Rust libraries for different tasks in machine learning
  • Create concise Rust packages for your machine learning applications
  • Implement NLP and computer vision in Rust
  • Deploy your code in the cloud and on bare metal servers

 

Who This Book Is For 

Machine learning engineers and software engineers interested in building machine learning applications in Rust.







Autore

Joydeep Bhattacharjee is a machine learning engineer. He likes creating software tools and processes with a focus on clean code. He is a huge believer in tech and the ability of tech to move the world forward. His expertise includes data exploration, statistical modeling, machine learning algorithms, and data visualization. His is currently working at Nineleaps as a principal engineer.







Altre Informazioni

ISBN:

9781484251201

Condizione: Nuovo
Dimensioni: 235 x 155 mm Ø 569 gr
Formato: Brossura
Illustration Notes:28 Illustrations, black and white
Pagine Arabe: 354
Pagine Romane: xv






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