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Вернуться к Mathematics for Machine Learning: Linear Algebra

Отзывы учащихся о курсе Mathematics for Machine Learning: Linear Algebra от партнера Имперский колледж Лондона

Оценки: 6,846
Рецензии: 1,332

О курсе

In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to solve problems. Finally we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract eigenvectors to look at how the Pagerank algorithm works. Since we're aiming at data-driven applications, we'll be implementing some of these ideas in code, not just on pencil and paper. Towards the end of the course, you'll write code blocks and encounter Jupyter notebooks in Python, but don't worry, these will be quite short, focussed on the concepts, and will guide you through if you’ve not coded before. At the end of this course you will have an intuitive understanding of vectors and matrices that will help you bridge the gap into linear algebra problems, and how to apply these concepts to machine learning....

Лучшие рецензии


Dec 23, 2018

Professors teaches in so much friendly manner. This is beginner level course. Don't expect you will dive deep inside the Linear Algebra. But the foundation will become solid if you attend this course.


Aug 26, 2018

Great way to learn about applied Linear Algebra. Should be fairly easy if you have any background with linear algebra, but looks at concepts through the scope of geometric application, which is fresh.

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1176–1200 из 1,330 отзывов о курсе Mathematics for Machine Learning: Linear Algebra

автор: Robin S

Feb 17, 2020

Very nice course. A good math overview with a balance between details and practice.

автор: Hamza K

Nov 30, 2019

Instructor should give more example related to Data Science and Machine Learning.

автор: Debzani M

Apr 29, 2020

An organized course, great for developing the imagination of mathematics and fun.

автор: Horacio G D

Jul 19, 2019

Really intuitive course on matrix algebra with very clear geometric explanations.

автор: Hariharasudhan A S

Feb 12, 2019

A good introduction, would recommend referring a textbook along with the course.

автор: Zhuocheng Y

Dec 02, 2018

The programming grading system doesn't work well, but the course is great anyway

автор: Xinsong D

Jun 15, 2018

Excellent, but for the pagerank part, the instructor teaches a little bit fast.

автор: Rocber

Sep 30, 2018

it is really useful to help me build geometric meaning with vector and matrix.

автор: Venkata P S

Jun 01, 2020

The course will help us to apply the matrices for machine learning algorithm.

автор: Tarun A

May 21, 2020

after learn from this course, i know very well about machine learning


автор: Aviral A

Dec 10, 2018

A good course for gaining knowledge for Linear Algebra for machine learning.

автор: 胡与诚

Apr 02, 2018

Good course, But I think it should explain more about the underlying things.

автор: Julian A

Jun 12, 2020

Fantastic course that provides a great introduction into linear algebra.

автор: Ivan

Jun 04, 2018

The course content is good, but the programming assignment is too easy.

автор: Ritik j

Jun 01, 2020

some topics are explained in a typical way and a bit problem was occur

автор: Sharad K L

Mar 09, 2020

Exams were hard and most of the exams were source of the knowledge.

автор: JOSÉ M B D

Jan 25, 2020

excelente curso, me gustaría que se complementara con programación.

автор: Ng Y Y

Jun 21, 2019

Good overview and introduction to key concepts of linear algebra

автор: Fatima,Safa

Jun 18, 2020

Wish it was a bit more spontaneous but overall great content!!

автор: Gautam K

Mar 07, 2019

Highly recommended course for beginners in Machine Learning.

автор: Mark R

Jan 03, 2019

Good grounding in the fundamental mathematics needed for ML

автор: Alagu P P G

Jun 18, 2020

good start up for algebra enthusiasist.

a strong foundation

автор: Venkata N G k

Apr 23, 2020

I felt that lectures aren't enough to solve the exercises.

автор: celwang

Mar 24, 2020

good course ! but some of the formula should be more clear

автор: wanglanri

Jun 25, 2018

The core idea of eigenvalue and eigenvector is very good.