This project was completed as part of the Miuul - Linear Algebra for Data Science and Machine Learning course. The objective of the project was to apply the linear algebra concepts covered in the ...

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This book serves as an introduction to linear algebra for undergraduate students in data science ... Undergraduate course in linear algebra as part of a major in data science, statistics, computer ...

Duration: 12h. In this module, we will introduce generalized linear models (GLMs) through the study of binomial data. In particular, we will motivate the need for GLMs; introduce the binomial ...

Specialization: Statistical Modeling for Data Science Applications Instructor: Brian Zaharatos, Director, Professional Master’s Degree in Applied Mathematics Prior knowledge needed: Basic calculus ...

In this chapter we discuss linear regression. This problem can be cast as a learning problem. We observe a sequence of (distinct) pairs ((x 1; y 1), …, (x m; y m)) called a set of training data (or ...

In this paper, a hardware design based on the field programmable gate array (FPGA) to implement a linear regression algorithm is presented. The arithmetic operations were optimized by applying a fixed ...