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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

4.6
2,295 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

PJ

Nov 28, 2023

Great course with easy to understand material but it doesn't have any videos in programming lab section and is confusing in some parts in the beforementioned labs.

MS

Aug 26, 2024

While people focus on teaching how to solve problems basically, It is very good to see people speak about maths like science as a concept with good visualization!. Great work guys.

筛选依据:

451 - Linear Algebra for Machine Learning and Data Science 的 475 个评论(共 531 个)

创建者 marzieh m

Sep 13, 2023

step by step and mostly easy to learn. I took one star for the last week.

创建者 Ahmed S K

May 17, 2023

It was a good course. parts of the explanation was a bit rushed.

创建者 Ankit S

Jun 8, 2024

i am not able to unlock the lab due to payment in second course

创建者 Ilya Z

Jan 2, 2024

There was a problem compiling the code from my Jupiter notebook

创建者 Luiz F P

Jun 12, 2024

First week was not amazing, but the remaining were very good!

创建者 Dev K

Jul 24, 2023

Great theory and maths. Programming portion can be improved.

创建者 Ammar J

Dec 5, 2025

Very helpful and take you step by step into course material

创建者 Mini I

Jul 3, 2024

very good explanation and practical part also very useful

创建者 Kareem W

Oct 28, 2023

Some of the material could have been explained better.

创建者 Hemanth R K

Jun 2, 2023

programming concepts should be explained more better.

创建者 Anshuman T

Jan 10, 2025

It is a very informative course, Thank you so much.

创建者 Guru P S

Jan 10, 2024

Proper Base and path for learning linear algebra

创建者 sitsawek s

May 21, 2023

in week 4 not completely clear about context

创建者 Olivier D T

Apr 16, 2023

Very clear, greatly enjoyable! Thanks a lot!

创建者 Miguel S

Sep 7, 2025

more practical exercises should be provided

创建者 Evert J K

Nov 12, 2024

Good course and gives a good understanding!

创建者 David K

Aug 13, 2024

Really good explanation of topics like PCA

创建者 Jay V

Mar 16, 2025

Learnt very depth of Linear Algebra.

创建者 Aleksey C

Jul 28, 2023

More exercises would be beneficial.

创建者 InFluX

Jul 25, 2023

Last week is a little confused.

创建者 Aymen K

Aug 7, 2024

is too hard for me but i pass

创建者 Tadeeb

Aug 13, 2025

good informative

创建者 Xiang Z

Feb 6, 2024

it's so deffcult

创建者 Abdullah M

Feb 29, 2024

It is too basic