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

4.6
stars
1,730 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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126 - 150 of 434 Reviews for Linear Algebra for Machine Learning and Data Science

By Gerley A

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May 20, 2023

Extremely solid and important for anyone looking to have a greater understanding of vector and matrix data representations in machine learning.

By Antonio G M

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Jul 19, 2023

Great course. Explains Linear algebra in a clear and concise way, while also providing examples and exercises to further your understanding.

By Mariam

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Apr 22, 2023

Luis Serrano is one of the most gifted teachers I've ever experienced and had the most grateful occasion of listening to and learning from.

By Leith S

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Jul 28, 2023

A couple of minor topics in eigenvalues and eigenvectors need further explanation near the end of the course but otherwise well taught.

By Tamil S

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Sep 7, 2023

The course is good in terms of giving Hands-on experience. I suggest to add a little more intuitive videos to help cement the concepts

By SHIVAM S

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Apr 20, 2023

The best course to go through the basics of Linear Algebra with a proper visual understanding and practical use cases of the concepts.

By Anish K

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Apr 7, 2023

I already know some of the concept, But also the insstructor has provided practical and very much logical appraoch to understand it.

By Brad F

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Jun 2, 2023

Unbelievably well-organized, easy-to-consume, and I actually learned a LOT from the assignments. If I could give six stars I would!

By 강현길

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Apr 1, 2024

Very practical and easy-lectured course. I would recommend this to anyone who wants to learn linear algebra for machine learning.

By Joaquin C C

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Mar 10, 2023

Great content the instructor really makes it easy to understand the mathematical concepts. The labs and the graphs are amazing.

By PURSWANI, H

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May 19, 2023

Great Course For beginners. The course helped me understand the mathematical fundamentals for Machen Learning and Data Science

By Adison

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Jun 14, 2023

The instructor was able to break down the concepts in an understandable manner, often by applying illustrations and examples.

By Muhammad N S

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Aug 21, 2023

Very good courses. Complex mathematical concepts can be explained in an easy and fun way so they are very easy to understand

By Chaitanya

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May 31, 2023

It you want to take a different perspective of linear algebra or learning it first time, take it. That $$$ is totally worth.

By Shekhar P

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Jun 30, 2023

I like this course the way they are teaching. Very impressive and easy to understand maths with machine learnicn ocnepts.

By Chua J

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Jun 30, 2023

In depth view of regarding the machine learning algorithms, interactive labs. Best course to refresh some of the calculus

By Derjean G

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Mar 15, 2023

Excellent course, not only challenging, but encourages further study of material. Also, the presenter is very engaging.

By Jacob M

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Aug 1, 2024

Really good course. I suggest pairing this with 3 Blue 1 Brown to get a really good complete picture of Linear Algebra

By Abdur R

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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

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Apr 21, 2023

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

By Carlos S

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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

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Oct 26, 2023

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

By Yousuf P

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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

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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

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Jun 20, 2023

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