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

4.6
stars
2,278 ratings

About the Course

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....

Top reviews

MS

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.

PA

May 27, 2023

Best Visual Explanation, I've got new thinking of the same things which I had learned in the Past. It great Course Thanks for making Such Amazing Content.

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451 - 475 of 528 Reviews for Linear Algebra for Machine Learning and Data Science

By Ilya Z

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Jan 2, 2024

There was a problem compiling the code from my Jupiter notebook

By Luiz F P

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Jun 12, 2024

First week was not amazing, but the remaining were very good!

By Dev K

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Jul 24, 2023

Great theory and maths. Programming portion can be improved.

By Ammar J

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Dec 5, 2025

Very helpful and take you step by step into course material

By Mini I

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Jul 4, 2024

very good explanation and practical part also very useful

By Kareem W

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Oct 29, 2023

Some of the material could have been explained better.

By Hemanth R K

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Jun 2, 2023

programming concepts should be explained more better.

By Anshuman T

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Jan 10, 2025

It is a very informative course, Thank you so much.

By Guru P S

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Jan 11, 2024

Proper Base and path for learning linear algebra

By sitsawek s

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May 21, 2023

in week 4 not completely clear about context

By Olivier D T

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Apr 16, 2023

Very clear, greatly enjoyable! Thanks a lot!

By Miguel S

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Sep 7, 2025

more practical exercises should be provided

By Evert J K

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Nov 12, 2024

Good course and gives a good understanding!

By David K

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Aug 13, 2024

Really good explanation of topics like PCA

By Jay V

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Mar 16, 2025

Learnt very depth of Linear Algebra.

By Aleksey C

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Jul 28, 2023

More exercises would be beneficial.

By InFluX

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Jul 25, 2023

Last week is a little confused.

By Aymen K

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Aug 7, 2024

is too hard for me but i pass

By Tadeeb

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Aug 13, 2025

good informative

By Xiang Z

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Feb 6, 2024

it's so deffcult

By Abdullah M

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Feb 29, 2024

It is too basic

By Ryan V

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Oct 5, 2024

Very Helpful:)

By Basil E

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Nov 2, 2023

good

By M. R R

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Sep 26, 2023

good