Machine Learning Domains
Joydeep Bhattacharjee · Apress eBooks · 2019
In the previous two chapters, we took a look at how machine learning is approached in the two major domains of NLP and computer vision. These domains cover the major breakthroughs of machine learning, and the state of the art is continually being pushed forward in these domains. But a lot of machine learning and high performance computing come outside these domains as well. In this chapter, we will take a look at some of these domains and how Rust can help in creating applications in these domains. We shall start with Statistical Analysis where we will compute Z-scores for different diseases in a genetic dataset. Then we will move on to understanding how high performance code can be written using SIMD and BLAS libraries in Rust. Finally, we will build a good books recommender in Rust.