Numerical methods for use in data science and artificial intelligence

The topic of this study is the part that numerical analysis plays in the growth and improvement of technologies related to data science and artificial intelligence. The study looks at the basic math methods used in these areas with a focus on how they can be used to solve real-world problems. We show use cases backed up by experiments in the form of two-dimensional tables and graphs. This shows how important and useful these methods are for making machine learning algorithms work better and handling large amounts of data.