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

4.5
stars
1,293 ratings

About the Course

Newly updated for 2024! After completing this course, learners 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 Mathematics for Machine Learning and Data science is a foundational online program created in by DeepLearning.AI and taught by Luis Serrano. This beginner-friendly program is where you’ll master the fundamental mathematics toolkit of machine learning. 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 plugins and visualizations to help you see how the math behind machine learning actually works. Upon completion, you’ll understand the mathematics behind all the most common algorithms and data analysis techniques — plus the know-how to incorporate them into your machine learning career. This is a beginner-friendly program, with a recommended background of at least high school mathematics (functions, basic algebra). We also recommend a basic familiarity with Python (loops, functions, if/else statements, lists/dictionaries, importing libraries), as labs use Python and Jupyter Notebooks to demonstrate learning objectives in the environment where they’re most applicable to machine learning and data science. If you are already familiar with the concepts of linear algebra, Course 1 will provide a good review, or you can choose to take Course 2: Calculus for Machine Learning and Data Science and Course 3: Probability and Statistics for Machine Learning and Data Science, of this specialization....

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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176 - 200 of 351 Reviews for Linear Algebra for Machine Learning and Data Science

By Aun K

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Mar 16, 2023

Great experience and a fantastic journey

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 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 Waheed A

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May 15, 2023

good experience learn new things

By Francesco M

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Jun 30, 2023

Easy to follow and interesting.

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 M

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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!

By John L

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Mar 9, 2023

Nicely explained course.

By Huy L

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Mar 19, 2024

really good fun course

By Mohamed B ( Y S

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Mar 10, 2024

Excellent and seamless

By Kamal H A

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Oct 30, 2023

Thanks for teaching me

By Abdelrahman H

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Sep 27, 2023

i loved it so much !

By Hoài Đ

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Mar 17, 2023

Excellent course!!!

By Adham W G E D A F

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Apr 12, 2024

Incredible course!

By Ibrahim E

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Jul 15, 2023

easy to understand

By Varun M

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May 7, 2023

an awesome course!

By Mosaab E B

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Mar 10, 2024

Great Course!!!!!

By MD S M

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Dec 23, 2023

Best of the Best!

By Leonardo B

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May 30, 2023

¡Amazing teacher!

By Seyed h M

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Mar 11, 2023

This is wonderful