Matix Algebra For Engineer

Interested in increasing your Machine Learning, Deep Learning expertise by effectively applying the mathematical skills? Then, this course is for you. With the growing learners of Machine Learning, Data Science, and Deep Learning.

Linear Algebra refresher for machine learning. Basics + Python implementation

Learn Basics of Linear Algebra (Mathematics) for Artificial Intelligence, Machine Learning and Data Science

Algebra in the Middle Grades addresses topics that are formalized in the first half of an Algebra 1 course, focusing on linear equations, their graphs and their applications to problem solving.

Learn Mathematics for Machine Learning and Data Science. It covers Calculus and Linear Algebra for Data Science

This book presents the main concepts of linear algebra from the viewpoint of applied scientists such as computer scientists and engineers, without compromising on mathematical rigor. Based on the idea that computational scientists and engineers need, in both research and professional life, an understanding of theoretical concepts of mathematics in order to be able to propose research advances and innovative solutions, every concept is thoroughly introduced and is accompanied by its informal interpretation. Furthermore, most of the theorems included are first rigorously proved and then shown in practice by a numerical example. When appropriate, topics are presented also by means of pseudocodes, thus highlighting the computer implementation of algebraic theory.