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学生对 DeepLearning.AI 提供的 Linear Algebra for Machine Learning and Data Science 的评价和反馈

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2,205 个评分

课程概述

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....

热门审阅

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.

筛选依据：

251 - Linear Algebra for Machine Learning and Data Science 的 275 个评论（共 524 个）

创建者 Pavlo G

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Aug 9, 2024

Great visual representation of the content!

创建者 David L P

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Nov 7, 2025

Great examples and challenging assignments

创建者 metin e

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Aug 2, 2024

it is well organized and presented course.

创建者 Aditya l

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Jun 29, 2024

geed course but sometime felt so alienated

创建者 jeff

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Jun 26, 2023

Thanks for this wonderful education course

创建者 Kirtikumar P

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May 1, 2023

Awesome course. I really enjoyed it a lot.

创建者 Martin

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Jul 5, 2023

Very interesting and informative course!

创建者 Md S I

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Apr 25, 2023

Good course and Excellent InsInstructor.

创建者 Aun K

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Mar 16, 2023

Great experience and a fantastic journey

创建者 Partha R

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Feb 16, 2025

Solid class, probably the best of the 3

创建者 Olusegun E

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Feb 4, 2025

Beautifully crafted course curriculum!

创建者 Abderrahmene M

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Nov 10, 2024

The best course in the specialization

创建者 DuNo

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Mar 21, 2024

amzing course and easy to understand

创建者 Ryan T

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Aug 7, 2023

Great course. Straight to the point.

创建者 Muhammad A J A

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Jun 4, 2023

Simple and deep course, I love it :)

创建者 Alivia N W

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Oct 9, 2024

it was a lot but so fun to learn 😭

创建者 Parsa N

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Nov 11, 2023

I fell in love with Linear Algebra!

创建者 Steve F

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Mar 11, 2023

It was very descriptive and awesome

创建者 Hamza R

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Nov 12, 2025

Great course and amazing materials

创建者 Moaaz m

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Jul 5, 2025

great course but need some details

创建者 Pietro P

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Jun 16, 2024

Finalmente apprezzo la matematica!

创建者 Nuntawat C

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Jan 24, 2025

Great content. You make math fun!

创建者 Waheed A

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May 15, 2023

good experience learn new things

创建者 RATNAYAKE R M

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Aug 21, 2024

Great course. clearly explained