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

4.6
stars
2,148 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

DL

Feb 26, 2023

Best math refresher course. I like this style of the course structure. Starting from basic and intuitive examples, but following the steps I realized I understand all-important concept

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.

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501 - 514 of 514 Reviews for Linear Algebra for Machine Learning and Data Science

By invk007

•

Sep 9, 2025

- Bad audio quality - Poor quality ai generated transcription and translations to other languages - The instructor skips important material - Many unclear parts are not explained properly - Overpriced labs

By Travis R

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Jul 26, 2025

It is very frustrating when you have to go do research outside of a Non-Credit class to understand what they are talking about. It started off so well then was almost like they wanted this rushed.

By Vlad P

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Oct 31, 2023

Very poor explanation. The tutor more practises tongue twisters, than actually explains anything. You'll definitely need other sources of information to understand the topic.

By Tse K Y C

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May 10, 2024

While I love to learn, but the course keeps changing its content and assignments, never ending in a matter of couple months and couple of days.

By Supun W

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Jan 24, 2024

worst experience i have ever had with a course on coursera. because of the week 3 lab assignment errors i could not finish the course.

By Abtin T

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Dec 20, 2023

Teaching is hard to understand. It is not as good as described in the teacher's introduction.

By Frank w

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Jul 23, 2023

The course doesn't cover detailed computation but those were tested in assignments

By Sepehr D

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Jul 14, 2025

not suitable for those who want to understand linear algebra deeply

By Ikram A

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Nov 5, 2023

only 1 star because, the quiz labs are not working properly.

By Atharva P

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Aug 7, 2023

Worst Linear Algebra course with all wrong coding solutions.

By Hana A S A

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Dec 21, 2024

انحذفت عندي الاكواد في المختبر وما قدرت ارجعها

By Nivethitha S

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Oct 14, 2023

Last week 4 assignment didn't submitted

By Cameron S D

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May 11, 2023

Won't let me un-enroll!

By Ehsan s

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May 19, 2024

poor content delivery.