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.
