MS
5.0Reviewed Aug 26, 2024
While people focus on teaching how to solve problems basically, It is very good to see people speak about maths like science as a concept with good visualization!. Great work guys.
Linear Algebra for Machine Learning and Data Science
Newly 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 math concepts through programming. And so, in this specialization, you’ll apply the math concepts you learn using Python programming in hands-on lab exercises. As a learner in this program, you'll need basic to intermediate Python programming skills to be successful. After completing this course, you 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 Many machine learning engineers and data scientists need help with mathematics, and even experienced practitioners can feel held back 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 visualizations to help you see how the math behind machine learning actually works. We recommend you have a high school level of mathematics (functions, basic algebra) and familiarity with programming (data structures, loops, functions, conditional statements, debugging). Assignments and labs are written in Python but the course introduces all the machine learning libraries you’ll use.
Status: NumPy
Status: Advanced Mathematics
IntermediateCourse34 hours
Featured reviews
FC
5.0Reviewed Mar 22, 2023
Easy of follow, lot of examples while following the course a very good additional material for preparing or improve the understanding of each topic at the end was a good investment.
SP
5.0Reviewed Jul 26, 2023
This course is truly exceptional for individuals eager to strengthen their grasp of Linear Algebra concepts, paving the way for a deeper understanding of machine learning and data science.
PJ
4.0Reviewed Nov 28, 2023
Great course with easy to understand material but it doesn't have any videos in programming lab section and is confusing in some parts in the beforementioned labs.
SB
5.0Reviewed Jan 27, 2025
The explanation of key concepts related to eigenvalues and eigenvectors, and most importantly, demonstration of its applications is the most fundamental takeaway from this course.
GD
5.0Reviewed Nov 1, 2024
The course was awesome! I finally got to understand how neural networks work, I had no idea calculus would help create these! The course was very clear, specially if you know calculus.
RK
4.0Reviewed Sep 22, 2023
I enjoyed the course very much but I found that week 4, especially the Eigenvalues and Eigenvectors explanation were not complete. This section can be definitely improved.
AA
5.0Reviewed May 24, 2024
I enjoyed this course I've learned how to solve systems of equations, matrices, and more. I've learned how to implement them using Python and how some machine-learning algorithms work
CW
5.0Reviewed Feb 4, 2025
Very fun intuitive way to learn Linear Algebra. Mr. Serrano gave me an understanding of what the concepts truly mean and why which I have never had before. Thank you!
IT
5.0Reviewed Jul 31, 2025
very thoughtful explaied which made it easy to follow along and understand the concepts. also, the programming exercises were great to solidify my understanding and applying the theory.
MA
5.0Reviewed Oct 18, 2023
before this course, I was just in jungle by not knowing anywhere, but this course opens my eyes and it makes everything clearer at the foundational level.
LM
5.0Reviewed Feb 7, 2024
Great course. Although I studied Linear Algebra many years ago in Engineering and Physics, it was an excellent refresher. The instructor really tied things together well.