Chevron Left
Back to Linear Algebra for Machine Learning and Data Science

Learner Reviews & Feedback for Linear Algebra for Machine Learning and Data Science by DeepLearning.AI

About the Course

After completing this course, learners will be able to: • Represent data as vectors and matrices and identify their properties using concepts of singularity, rank, and linear independence, etc. • Apply common vector and matrix algebra operations like dot product, inverse, and determinants • Express certain types of matrix operations as linear transformations • Apply concepts of eigenvalues and eigenvectors to machine learning problems Mathematics for Machine Learning and Data science is a foundational online program created in by DeepLearning.AI and taught by Luis Serrano. This beginner-friendly program is where you’ll master the fundamental mathematics toolkit of machine learning. Many machine learning engineers and data scientists struggle with mathematics. Challenging interview questions often hold people back from leveling up in their careers, and even experienced practitioners can feel held by a lack of math skills.  This specialization uses innovative pedagogy in mathematics to help you learn quickly and intuitively, with courses that use easy-to-follow plugins and visualizations to help you see how the math behind machine learning actually works. Upon completion, you’ll understand the mathematics behind all the most common algorithms and data analysis techniques — plus the know-how to incorporate them into your machine learning career....

Top reviews

Filter by:

1 - 5 of 5 Reviews for Linear Algebra for Machine Learning and Data Science

By Ahmed M G

Jan 30, 2023

Very helpful and initiative course for who has a good mathematics background or not.

By Mohamed A A E

Jan 26, 2023

Great course and Great instructor. Happy to be enrolled

By João S

Jan 30, 2023

I missed some important concepts like Vector Projection and Matrix Calculus, just to exemplify some. I hope the other courses cover them.

By Samuel H

Jan 29, 2023

Excellent intro to the fascinating world of Linear Algebra.

By Simone S

Jan 30, 2023

Too basic and chaotic