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

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

4.7
별점
7,529개의 평가
1,503개의 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

EC

Sep 10, 2019

Excellent review of Linear Algebra even for those who have taken it at school. Handwriting of the first instructor wasn't always legible, but wasn't too bad. Second instructor's handwriting is better.

PL

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.

필터링 기준:

Mathematics for Machine Learning: Linear Algebra의 1,500개 리뷰 중 751~775

교육 기관: K P

Jun 16, 2020

Exceptionally Good..With highly experienced instructors.

교육 기관: Jinwoong K

Nov 24, 2018

nice intro to the linear algebra world and relevant code

교육 기관: Trà N

Nov 08, 2018

Really good course, help me to understand linear algebra

교육 기관: Xiao F

Apr 20, 2018

very good course for high level aspect of linear algebra

교육 기관: S J

Apr 29, 2020

Best way to start Machine Learning for Mathematicians!!

교육 기관: Khasanova A G

Sep 08, 2019

just awesome. challenging at times but totally worth it

교육 기관: Ricardo F

Jun 10, 2019

The course is pretty good and both teachers are amazing

교육 기관: Martin B

Sep 23, 2018

Very good. Excellent inroduction and highly accessible!

교육 기관: Kannan S

Apr 11, 2018

Concepts are clearly explained with numerical examples.

교육 기관: Karthick P

Jun 29, 2020

Excellent Courses, Great refresher of Linear Algebra!!

교육 기관: SHIVAJI C M 1

Jun 03, 2020

This Course is very informative and helped me a lot !!

교육 기관: TOORPU A R

Apr 26, 2020

Excellent course for linear algebra.faculty is so good

교육 기관: Hanuman M G

Apr 11, 2020

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linear algebra good start for machine learning

교육 기관: Sumit K S

Jan 03, 2020

Awesome Course i will definately recommend my friends

교육 기관: Alok R S

Dec 03, 2019

Lectures speed is fast. But lectures are just awesome.

교육 기관: Mohammed A

Aug 26, 2019

A really wonderful courses that helped my in my career

교육 기관: Yashasva P

Jun 08, 2019

The course content was really helpful and interesting.

교육 기관: KAI N

Dec 24, 2018

Excellent course which provides a new viewpoint for ML

교육 기관: Kendre P P e

Jul 12, 2020

Really good understanding about vectors and there use

교육 기관: Mariam M

May 08, 2020

Very good, very challenging and satisfying all in all

교육 기관: Abdulkadir H

Sep 06, 2019

1 step closer to becoming a machine learning engineer

교육 기관: Jnaneswararao B

Jun 09, 2018

changing the basis and reflecting plane helped me lot

교육 기관: Hai P

Jun 25, 2020

This course is very interesting about linear algebra

교육 기관: Bright I M

Jun 03, 2020

I love the instructors as much as I loved the course

교육 기관: Warren O

Apr 15, 2020

Great course. Great challenges. Completely worth it.