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

4.6
stars
1,810 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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226 - 250 of 454 Reviews for Linear Algebra for Machine Learning and Data Science

By Pavlo G

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Aug 9, 2024

Great visual representation of the content!

By metin e

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Aug 2, 2024

it is well organized and presented course.

By Aditya l

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Jun 29, 2024

geed course but sometime felt so alienated

By jeff

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Jun 26, 2023

Thanks for this wonderful education course

By Kirtikumar P

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May 1, 2023

Awesome course. I really enjoyed it a lot.

By Martin

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Jul 5, 2023

Very interesting and informative course!

By Md S I

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Apr 25, 2023

Good course and Excellent InsInstructor.

By Aun K

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Mar 16, 2023

Great experience and a fantastic journey

By Abderrahmene M

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Nov 10, 2024

The best course in the specialization

By DuNo

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Mar 21, 2024

amzing course and easy to understand

By Ryan T

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Aug 7, 2023

Great course. Straight to the point.

By Muhammad A J A

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Jun 4, 2023

Simple and deep course, I love it :)

By Alivia N W

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Oct 9, 2024

it was a lot but so fun to learn 😭

By Parsa N

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Nov 11, 2023

I fell in love with Linear Algebra!

By Steve F

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Mar 11, 2023

It was very descriptive and awesome

By Pietro P

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Jun 16, 2024

Finalmente apprezzo la matematica!

By Waheed A

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May 15, 2023

good experience learn new things

By RATNAYAKE R M

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Aug 21, 2024

Great course. clearly explained

By Francesco M

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Jun 30, 2023

Easy to follow and interesting.

By Afsal K

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Oct 22, 2024

better course, loved so much,

By Pavol D

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Jun 9, 2024

Great course and instructor.

By M. R S

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Sep 28, 2023

so hard make me think harder

By Ali H K

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May 6, 2023

Nicely planned curriculum.

By Axelliano R S

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Mar 27, 2024

Nice and Beginer Friendly

By Hassan A

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Aug 3, 2023

A wonderful course it is!