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

4.6
stars
1,775 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

NA

Jun 17, 2023

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 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.

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426 - 445 of 445 Reviews for Linear Algebra for Machine Learning and Data Science

By Guillermo O C

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Feb 25, 2024

Los laboratorios de python son complejos para una persona que recien empeza a programar, un ejemplo de eso se ve en la tara C1W2

By Ming Z

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Sep 24, 2023

This course is kind of unstructured and the assignments and quizzes contain lots of uncovered content.

By Vladimir B

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Jul 2, 2023

Material is not complete explaint. There are not Hins in Labs.

By Yousef I

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Sep 4, 2023

eigenvalues and vectors were poorly explained

By Daniyal H

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Dec 7, 2024

alot of issue faces in assigments submission

By Shailja K

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Jan 31, 2024

Too confusing

By Zane L

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May 20, 2024

NO

By Rebecca M

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Mar 1, 2023

Completed all the way up through the last assignment in week 3 with 100% on all assignments and quizzes. Completed all but the very last question in the programming assignment with matching "Expected Output" and "All Tests Passed" , and pasted the "#grade-up-to-here into the cell second to last cell. I have submitted many times, receiving anywhere from 0-50%. Have emailed support, and never even received a generic response that it was received. Very frustrated and tempted to leave Coursera forever. :(

By Bader A A

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Oct 1, 2023

this course is not well structured for beginners, it is not taught well with details. the instructor goes over the concepts in short manner, then quiz you and also quiz you in python numpy library, the order of topics is not correct in my opinion

By Rose E

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May 22, 2024

Graded quizes have questions that do not explain what format the answers should be in. ZERO support from Coursera when needed. So disappointed with this course thus far. Hopefully, it gets better as I go on.

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 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 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.