In this chapter, we begin a new discussion with machine learning through GPU-enabled Python. The end objective of these chapters is to encourage the user to develop applications to benefit the scientific AI community. The fundamental steps to write a machine learning-based program will be illustrated via use cases.
With the help of the use cases, we will establish how GPU-enabled Python and machine learning can work in tandem to facilitate processing and analysis of large datasets. We will look at the significance of big data management, deep learning, and other crucial concepts. Additionally, computational exercises will be revisited but with a machine learning approach. The solution assistance section will help you devise your own techniques to implement machine learning on the three unique problems discussed previously through chapters...