Linear Algebra for Machine Learning and Data Science

Updated for 2024! Mathematics for Machine Learning and Data Science is a foundational online program created by DeepLearning.AI and taught by Luis Serrano. In machine learning, you apply mathematical concepts through programming. And in this specialization, you will apply the mathematical concepts you learn using Python programming in hands-on labs. You will need basic to intermediate Python programming skills to succeed. After completing this course, you will be able to: - Represent data as vectors and matrices and determine their properties using concepts such as singularity, rank, linear independence, etc. - Apply common vector and matrix algebra operations, such as dot products, inverses, and determinants - Express some types of matrix operations as linear transformations - Apply the concepts of eigenvalues ​​and eigenvectors to machine learning problems Many machine learning engineers and data scientists need help with math, and even experienced professionals can feel held back by a lack of math skills. This specialization uses innovative pedagogy in math to help you learn quickly and intuitively, with courses that use simple visualizations to help you see how the math behind machine learning actually works. We recommend that you have a high school level of math (functions, basic algebra) and familiarity with programming (data structures, loops, functions, conditionals, debugging). The assignments and labs are written in Python, but the course introduces all the machine learning libraries you will use.