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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
2,148 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

PA

May 27, 2023

Best Visual Explanation, I've got new thinking of the same things which I had learned in the Past. It great Course Thanks for making Such Amazing Content.

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.

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126 - Linear Algebra for Machine Learning and Data Science 的 150 个评论(共 514 个)

创建者 Ionut T

Aug 1, 2025

very thoughtful explaied which made it easy to follow along and understand the concepts. also, the programming exercises were great to solidify my understanding and applying the theory.

创建者 Artinm89

May 25, 2024

I enjoyed this course I've learned how to solve systems of equations, matrices, and more. I've learned how to implement them using Python and how some machine-learning algorithms work

创建者 Amanat U M

Oct 8, 2023

Great course and excellent instructor. All the concepts are explained in details with visual concept. There are also some coding labs so that we can implement what we have learnt.

创建者 Santanu B

Jan 28, 2025

The explanation of key concepts related to eigenvalues and eigenvectors, and most importantly, demonstration of its applications is the most fundamental takeaway from this course.

创建者 Maximiliano R T

Jul 3, 2025

Creo que, si quieres empezar en el mundo de la IA y entender bien cómo funcionan los modelos de IA, deberías comenzar por aquí. Nadie me ha explicado tan bien las matemáticas.

创建者 Larry M

Feb 8, 2024

Great course. Although I studied Linear Algebra many years ago in Engineering and Physics, it was an excellent refresher. The instructor really tied things together well.

创建者 Cat W

Feb 5, 2025

Very fun intuitive way to learn Linear Algebra. Mr. Serrano gave me an understanding of what the concepts truly mean and why which I have never had before. Thank you!

创建者 Rahul K

Aug 23, 2023

This course has given me new confidence to develop a mathematical mindset. After decades in data engineering, I am starting my new role in Machine Learning and AI.

创建者 eliezer l n g

Feb 13, 2024

I'll really recommend to anyone eager to acquire the basic requirements for Machine Learning and Deep Learning. It was fun to learn with very practical exercises

创建者 莊子儀

Jan 13, 2024

This class employs straightforward examples and visualizations, aiding me in grasping the key concepts more efficiently. I thoroughly enjoyed this course.

创建者 Mohammad O A

Oct 19, 2023

before this course, I was just in jungle by not knowing anywhere, but this course opens my eyes and it makes everything clearer at the foundational level.

创建者 Priyanshu A

May 28, 2023

Best Visual Explanation, I've got new thinking of the same things which I had learned in the Past. It great Course Thanks for making Such Amazing Content.

创建者 Balsebre-Andrae, S

Jul 27, 2023

I appreciated this course very much, except for the sometimes inaccurate task descriptions in the programming labs.

It got decent Khan Academy vibes :)

创建者 Ahmed a

Jun 17, 2023

Despite the fact I have already taken the same content at my University, It all felt really new to me, and It was like the first time I understand.

创建者 Ivan S

Feb 24, 2023

Course provides good starting point for mastering Linear Algebra. I liked very much the programming assignments provided at the end of every week.

创建者 Dan H

Jan 16, 2025

Use of visualizations and interactive tools significantly helped with developing an intuitive understanding of these key linear algebra concepts.

创建者 Ramin M

Jan 4, 2025

It was a great learning experience, and all the examples were carefully chosen with a special focus on machine learning. Well done and thank you!

创建者 Haris K

Aug 13, 2023

This course was really a gem of course with various interactive labs and quizzes. I liked the labs very much and also the lecturer was top class.

创建者 Gerley A

May 20, 2023

Extremely solid and important for anyone looking to have a greater understanding of vector and matrix data representations in machine learning.

创建者 Antonio G M

Jul 19, 2023

Great course. Explains Linear algebra in a clear and concise way, while also providing examples and exercises to further your understanding.

创建者 Mariam

Apr 21, 2023

Luis Serrano is one of the most gifted teachers I've ever experienced and had the most grateful occasion of listening to and learning from.

创建者 Su H O

Jul 30, 2025

It's a very good, and easily understandable program. And I feel deep thank you to DeepLearning.AI for providing such a perfect program.

创建者 Leith S

Jul 28, 2023

A couple of minor topics in eigenvalues and eigenvectors need further explanation near the end of the course but otherwise well taught.

创建者 Tamil S

Sep 7, 2023

The course is good in terms of giving Hands-on experience. I suggest to add a little more intuitive videos to help cement the concepts

创建者 SHIVAM S

Apr 20, 2023

The best course to go through the basics of Linear Algebra with a proper visual understanding and practical use cases of the concepts.