Chevron Left
Mathematics for Machine Learning: Linear Algebra(으)로 돌아가기

임페리얼 칼리지 런던의 Mathematics for Machine Learning: Linear Algebra 학습자 리뷰 및 피드백

4,808개의 평가
876개의 리뷰

강좌 소개

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....

최상위 리뷰


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.


Apr 01, 2018

Amazing course, great instructors. The amount of working linear algebra knowledge you get from this single course is substantial. It has already helped solidify my learning in other ML and AI courses.

필터링 기준:

Mathematics for Machine Learning: Linear Algebra의 873개 리뷰 중 351~375

교육 기관: Michael R

Sep 17, 2019

Very visual and engaging. The lecturers' passion for the topic adds to the learning experience

교육 기관: Santosh B

Apr 10, 2019

A well designed refresher course with greater emphasis on teaching us the underlying concepts.

교육 기관: Nabijonov K T

Nov 15, 2019

Great course and must have for machine learning students. Course however is not for beginners

교육 기관: Shashank S

Sep 14, 2018

A very nice introduction of linear algebra from applications in machine learning perspective.

교육 기관: Dhiraj K K

Jan 11, 2020

This course revised everything which I learnt before. The professors are awesome! Thank You.

교육 기관: Loay W

Jul 07, 2019

The First time I can interpret the linear algebra operations and build intuition about them!

교육 기관: Khandakar A H

May 12, 2019

practicing with this course is really helpful for beginners in the world of machine learning

교육 기관: ONTEDDU R K R

May 29, 2019

Well structured, and excellent professors, and with challenging assignments. Worth my time.

교육 기관: sergey z

Jan 24, 2019

Thorough and friendly face instructor from Imperial, a pleasure to watch and easy to follow

교육 기관: Benson H

Dec 24, 2018

The course describtion is very clear. We can learn the basic linear algebra concept well !

교육 기관: Jason J

May 25, 2018

David Dye is excellent! I wish my university mathematics was taught like this 15 years ago.

교육 기관: Nikhil V

Feb 16, 2020

It was to the point and intuitive to learn the this course and the exercises are real fun!

교육 기관: John M

Jan 24, 2020

This course helped me to attain a sound knowledge in Linear Algebra. Thank You professors!

교육 기관: Kristen P

Jan 13, 2020

Very interesting course! Examples are practical and closely related to data science topic!

교육 기관: Avinash K

Dec 22, 2019

This course is amazing for the beginning of machine learning with the base of mathematics.

교육 기관: Segundo F S A

Dec 17, 2019

Excelente curso bien explicado de la utilidad del álgebra lineal. básico pero interesante.

교육 기관: Stavros

Jan 06, 2019

Pretty basic, but nicely executed. Practically going through the basics of linear algebra.

교육 기관: William H V G

Jan 16, 2020

This course is very challenging and the same time useful. I've learn a lot of new things.

교육 기관: 王储

Nov 21, 2019

I think it overturns my understanding of linear algebra, I was lucky to meet this course.

교육 기관: Samresh

Jul 09, 2019

Nice Course. Explain in easy and clear way. Cover basic topics for machine learning well.

교육 기관: Alan S

Sep 13, 2018

The course for every engineer who want to refresh math skills before trying data science.

교육 기관: Huitian D

Feb 18, 2020

Since I haven't been doing linear algebra after college this course is a good refresher!

교육 기관: Azhan A

Dec 23, 2018

This is a mind-blowing course, very informative and takes your skills to the next level.

교육 기관: Dan G

Dec 07, 2018

I very friendly introduction to linear algebra that makes you fully comfortable with it.

교육 기관: Md. H R

Jan 22, 2020

Vectors and matrices were always confusing to me, this course cleared all my confusion.