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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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351 - 375 of 434 Reviews for Linear Algebra for Machine Learning and Data Science

By S S P (

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May 27, 2023

Course syllabus and structure is great, but I felt like there was not enough practice problems and examples.

By Luisana F

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Dec 27, 2023

Some concepts were a little complex to understand however, I did learn a lot and I'm very grateful for that

By Hajji H

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May 31, 2023

great course, it really does a great job of getting you familiar with important topics in linear algebra.

By deidelma 0

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Sep 27, 2023

Good quality teaching, but the lack of enough worked examples detracts a bit from the educational value.

By mohammad a j

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Jul 25, 2023

in last course quize there was a question that it seems there was not any material about that question.

By Rohan J

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Jul 27, 2023

The course is really Good with practical examples. The instructor also explains everything clearly

By Erfan G

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Mar 11, 2023

the last part(eigen values and vectors) is very complicate, I guess it has to explain more

By Abiha Z

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Nov 10, 2024

Awesome course and very flexible to do. Many important topics are covered in this course.

By Jim R

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Mar 23, 2023

A very quick overview of linear algebra with useful explanation of how it applies to AI

By I. E M

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Sep 20, 2024

The Course is great but the section on Eigen values and Eigen Vectors is pretty weak

By Rob T

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Apr 26, 2024

Excellent explanations--I withdrew because I could not get through the Python labs

By Darko Š

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Aug 12, 2023

Week 4 was a little bit fast or not overly explained, but overall very good course

By Victor M

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Jun 13, 2023

Very interesting course, but week four needs to re-done with better explanations

By mouad k

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Oct 23, 2024

the mathematics is this course make sense like no other university math courses

By Ramez D

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Jun 2, 2023

i had some issues with the 4th weeek as some concepts was not explained clearly

By Leonardo E

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Apr 24, 2023

personally, videos about coding itself and not just math would make it 100/100

By 李恒毅

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Aug 23, 2023

I hope this course can go into more depth and provide more practice exercises

By Moro A W

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Aug 18, 2023

I really liked how the topis were presented and how each topic was explain.

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