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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
2,152 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.

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426 - Linear Algebra for Machine Learning and Data Science 的 450 个评论(共 514 个)

创建者 Abiha Z

Nov 10, 2024

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

创建者 Jim R

Mar 23, 2023

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

创建者 I. E M

Sep 20, 2024

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

创建者 Rob T

Apr 26, 2024

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

创建者 Darko Š

Aug 12, 2023

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

创建者 Yan W

May 23, 2025

some concepts are difficult for beginners. Good if there were more videos on them

创建者 Victor M

Jun 13, 2023

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

创建者 Ramez D

Jun 2, 2023

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

创建者 Leonardo E

Apr 24, 2023

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

创建者 李恒毅

Aug 23, 2023

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

创建者 Moro A W

Aug 18, 2023

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

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 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