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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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151 - 175 of 445 Reviews for Linear Algebra for Machine Learning and Data Science

By Abdur R

Oct 4, 2023

This course is very basic. i already knew linear algebra but i learn it in different way .The visualization was good.

By Aditya M

Apr 21, 2023

This course is really eye opening that elegantly connect the fundamental ideas of Linear Algebra with Machine Learning

By Carlos S

Sep 7, 2024

Nice introduction to algebra, great examples associated with ML and DS. I've never seen algebra applied to ML before.

By Sarthak S

Oct 26, 2023

Great introduction to linear algebra. Helpful to revise various concepts and implement them in Python programming.

By Yousuf P

Nov 18, 2024

Excellent course for math enthusiasts who want to connect with the world of Data Science and Machine Learning !

By Sutharsan T P

Oct 26, 2023

best faculty teaching and very helpful to study about the linear algebra in machine learning and data science

By Tiến T T

Jun 20, 2023

The course is so easy to understand for the beginner, and the content is suitable for the ML and DS learners

By Dorian K M

Jul 8, 2023

Very useful course to prepare for a specialization in machine learning and data science. Recommended 100%.

By Devapranjal S

Mar 24, 2024

Amazing lectures and really useful practical lab lessons. Just loved the way every lecture was explained.

By amlan d

Aug 1, 2023

Last week coding assignment were not clear as to what is being asked. Apart from that this a great course

By Boushra A

Nov 14, 2024

IT WAS PERFECTTTT I ENJOYED EVERY MINUTE OF IT, THANK U SO MUCH FOR SUCH A GREAT COURSE <333 LOVE U LUIS

By Papageorgiou N

Nov 18, 2024

Very educational course, providing a great head start in machine learning while covering basic concepts

By Pedro T

Jul 11, 2023

Very well designed, the pedagogy used to explain complex topics is excellent. I totally recommended

it.

By SHASHI K P

Aug 5, 2023

Wonderful course , The way instructor explains is just awesome ,Thank you for offering this course :)

By adelaide b

May 2, 2023

probably could have spent a little more time on the material for week 4 but overall fantastic course.

By Florin C

Jul 13, 2023

Amazing course! The teacher is one of the best I've seen online. The experience is a positive one!

By Daniel y

Sep 11, 2024

This course was taught beautifully - concepts were explained well and accompanied by visuals.

By Αντώνιος Τ

Aug 18, 2023

Andre Ng was right (as usual) for recommending Luis Serrano, he is also an excellent teacher!

By Imran S

Aug 21, 2024

It was explained with such a nice way, like demonstration of each concept is super amazing.

By Momen A

Aug 14, 2023

Great Course, with simplified explanations, assessment helps you to understand topics more.

By Jansi E 2

Oct 27, 2023

I got more details and gained knowledge from this course. I understand the deep concepts.

By Subbu V

Jul 23, 2023

This totally kicked my butt - but it was well structured and organized. Great work team!

By Bhaskar G

Aug 11, 2023

It is so amazing course. Superb presentation and so nicely done. I really enjoyed it.

By Valéry B

Jul 9, 2024

Simple, yet powerful. The eigenvalues eigenvectors part really helped me. Thanks!

By Olivio A C J

Oct 12, 2023

A very exciting course. Explanations are very good and the exercises are awesome.