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    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

    Filled StarFilled StarFilled StarFilled StarHalf Faded Star
    4.6
    stars
    1,973 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...
    ...

    Top reviews

    NA

    Jun 18, 2023

    Filled StarFilled StarFilled StarFilled StarFilled Star

    Very visual and application oriented and gives the context for machine learning and where linAL is applied in PCA and neural networks. The structure is really byte sized and fun to work with.

    SP

    Jul 27, 2023

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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.

    Filter by:

    376 - 400 of 481 Reviews for Linear Algebra for Machine Learning and Data Science

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    By Laure P K

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    Apr 1, 2023

    Well explained and well paced. I had more trouble at the end with the Eigenvectors series. Since I had no prior programming, I did not do well with the Python labs.

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    By Parsa J

    •

    Nov 29, 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.

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    By Wafa A

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    Feb 7, 2023

    I face some difficulty at the python part, since I have a tiny knoladeg at that part other than this every thing was really good! I enjoyed the course.

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    By Thokachichu T

    •

    Jun 16, 2023

    Opened my eyes about the concepts i've learned in my UG studies...which i've been wondering how to implement practically, especially in ML and DS : )

    Filled StarFilled StarFilled StarFilled StarStar

    By Cheater F

    •

    Jul 7, 2023

    It's a great course with professional professors but there is one problem i hoped they made lab lessons videos but overall I loved it.

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    By Jathavan S

    •

    Jan 6, 2024

    Good course, programming assignments were partially too easy. Portion around eigenvalues and eigenvectors appears to be a bit rushed.

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    By Douglas L

    •

    Oct 5, 2023

    The course was excellent – clear videos with great content, and the problems were set at a good level, as were the programming labs.

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    By Emmanuel M M B

    •

    Jul 16, 2023

    The eigenvalues and eigenvectors week is not clear and seems to have been rushed over. Otherwise the other weeks were clear.

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    By Arjun N

    •

    Jul 23, 2024

    He was confusing at time but the basic revision of all these concepts and how it links to machine learning was helpful .

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    By rifqi a

    •

    Oct 9, 2024

    the lesson is insightful but also a little bit difficult. maybe I need more time to rewatch the video to understand

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    By Putri R N M

    •

    Mar 19, 2024

    I'm overwhelmed at coding sections, I'm soo confused that i started crying, but overall, that was great experience.

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    By Антоніна Т

    •

    Aug 1, 2024

    sometimes it's hard to understand, but it's really cool! Thank you to everyone who helped to create this course!

    Filled StarFilled StarFilled StarFilled StarStar

    By Abraham O

    •

    Oct 23, 2023

    It's hard but I loved it. I would have preferred the instructor did more labs or a video of them doing the labs.

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    By Zainab G

    •

    Apr 10, 2025

    This course was super informative! I really liked how every topic was tied back to machine learning algorithms.

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    By S S P (

    •

    May 27, 2023

    Course syllabus and structure is great, but I felt like there was not enough practice problems and examples.

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    By Luisana F

    •

    Dec 27, 2023

    Some concepts were a little complex to understand however, I did learn a lot and I'm very grateful for that

    Filled StarFilled StarFilled StarFilled StarStar

    By Hajji H

    •

    Jun 1, 2023

    great course, it really does a great job of getting you familiar with important topics in linear algebra.

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    By deidelma 0

    •

    Sep 28, 2023

    Good quality teaching, but the lack of enough worked examples detracts a bit from the educational value.

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    By mohammad a j

    •

    Jul 25, 2023

    in last course quize there was a question that it seems there was not any material about that question.

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    By VANKADHARA S K

    •

    Apr 11, 2025

    Very beautifully explained course where the instructor have taught the concepts in a practical way.

    Filled StarFilled StarFilled StarFilled StarStar

    By Rohan J

    •

    Jul 27, 2023

    The course is really Good with practical examples. The instructor also explains everything clearly

    Filled StarFilled StarFilled StarFilled StarStar

    By Naman

    •

    Dec 1, 2024

    The course was great and helpful. I appreciate the educator for his way of teaching the concepts.

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    By Erfan G

    •

    Mar 11, 2023

    the last part(eigen values and vectors) is very complicate, I guess it has to explain more

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    By Abiha Z

    •

    Nov 10, 2024

    Awesome course and very flexible to do. Many important topics are covered in this course.

    Filled StarFilled StarFilled StarFilled StarStar

    By Jim R

    •

    Mar 23, 2023

    A very quick overview of linear algebra with useful explanation of how it applies to AI

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