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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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276 - 300 of 455 Reviews for Linear Algebra for Machine Learning and Data Science

By Rajarshi M

•

Aug 23, 2023

Excellent!

By Sasyesh P S C

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Jan 11, 2025

Excellent

By adeel s

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Jul 26, 2023

excellent

By Muhammad K M

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Mar 20, 2024

excelent

By Dwiki H

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Sep 29, 2023

so great

By khushilal s

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Sep 4, 2023

All good

By ARON H T

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Mar 13, 2023

Awesome!

By Alen A

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Aug 8, 2024

Awesome

By Muhammad K I

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Mar 23, 2024

awesome

By moustafa e

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Apr 20, 2023

amazing

By Polina K

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Feb 14, 2024

Great!

By Mahesh K

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Jan 10, 2025

Great

By Susi S M

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Mar 21, 2024

Great

By Ramy I A

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Mar 7, 2024

thanx

By Michael C

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Dec 19, 2023

Great

By Stephen C

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Dec 9, 2023

10/10

By RIPALDO L B

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Sep 27, 2023

Keren

By Shahid R

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Jun 27, 2023

great

By Rini W S

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Nov 20, 2024

good

By Fadhila A S

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Oct 14, 2024

Good

By Hanifa F P

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Oct 11, 2024

good

By Muhammad S I

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Oct 8, 2024

nice

By Sasindu C P

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Jun 4, 2024

nice

By Anggi P S

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Mar 23, 2024

good

By Syehan H S

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Oct 17, 2023

good