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

4.6
stars
1,880 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 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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401 - 425 of 471 Reviews for Linear Algebra for Machine Learning and Data Science

By marzieh m

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Sep 13, 2023

step by step and mostly easy to learn. I took one star for the last week.

By Ahmed S K

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May 17, 2023

It was a good course. parts of the explanation was a bit rushed.

By Ankit S

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Jun 9, 2024

i am not able to unlock the lab due to payment in second course

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 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

•

Jan 10, 2025

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

By Guru P S

•

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 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 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 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

By Abhinav J

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Sep 23, 2023

good

By Hau T

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Apr 1, 2023

First, I'm a non-native English speaker, the language barrier is really a tough challenge for me to learn this course. However, I think this course is created for international learners, so these problems should be solved: - Luis's teaching is good. But I found there are some missing information or formula needed to solve the exercise. I have to Google a lot, which mean the course is not covered well.

- Exercises are really confuse sometimes. And it's not only me, I checked and many student got confused problems on Community.

- I would love to have more illustration. Some visual effect to point out which part Luis is talking about in the presentation is also good to have. Once again English is not my primary language, and Math is a lot of numbers, symbols and a lot of terminologies. I'm pretty sure even native ones may get lost too.

- I wish there is a Discord server for students, because it's usually quicker to get response there. The community page's UI/UX and navigation is not good. - Put the Notation on top of 4 modules. Why putting it at the end? I wish I knew it earlier.