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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

4.7
звезд
Оценки: 5,036
Рецензии: 927

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

CS

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.

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.

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251–275 из 925 отзывов о курсе Mathematics for Machine Learning: Linear Algebra

автор: Brandi R

Jun 20, 2019

Wow, this course was hard. But very good, I learned so much about transforming vectors and matrices as well as some interesting Python coding.

автор: Oj S

Dec 13, 2019

A very useful course for Machine learning, you will never feel aloof if you are not with a Mathematics background while learning ML afterward.

автор: Asrorbek O

Jun 21, 2019

The course is very great. I have thoroughly enjoyed taking it. However, 5th module should be improved by teaching diagonalization more deeply.

автор: Robert P C J

Jul 01, 2018

This course was a really excellent refresher in linear algebra! Everything was presented clearly, and the lectures and homework were engaging.

автор: Brian A W

Dec 12, 2019

Very informative, even as I start my postgraduate studies, I have picked up on a few notions and perspectives I have never considered before.

автор: Nano D N

May 14, 2019

I'm only at the beginning of the course but the material is really worth it.

Great instructor. He makes himself very clear and easy to follow.

автор: Camilo J

Feb 18, 2019

Great class and wonderfull material. Focused on intuition and programming rather that minndlessly solving problems as a mechanical challenge.

автор: Yuen P H H

Apr 02, 2018

Website works really well and the course material is clear and concise where the lecturer describes the theory and its application very well.

автор: Pendekanti N

Mar 20, 2020

Course is very interesting and all the concepts regarding linear algebra is conveyed in practical manner.Thoroughly enjoyed the whole course

автор: Nathan R

Jan 23, 2020

I needed a course to understand basic of linear algebra prior to starting masters course in discrete optimization. This course was perfect.

автор: Julio A S H

Nov 03, 2019

This course is very well designed, I loved it!

I would like to see an Imperial College London design a fully fledged Machine Learning Course.

автор: Yevhenii S

Feb 15, 2019

Very good course. It well structured, good lectures and assignments. It gives enough intuition and refresh to move forward. Thank you team!

автор: Dilver J H G

Nov 06, 2019

I strongly recommend to follow this course, it's challenging at times but it's worth it in order to build a solid base in machine learning

автор: Srimat M

Aug 18, 2019

awesome learning experience, great visualization of number and its just number which can mean a lot!!! must take course... thank you team!

автор: Pratyush

Jan 21, 2019

The course is a great one for someone who has been through high school mathematics. On hand questions are practiced using machine learning

автор: 郭宇

Jan 09, 2019

Einstein Notation is very useful, and I hadn't heard of it before the class. With this tool, I can easily derive formulas in MATRIX form.

автор: Sungbae C

Sep 28, 2019

Extremely useful, but I would not recommend to take it without ANY prior knowledge of linear algebra, as the course's pace is quite fast.

автор: Amy G

Jul 23, 2019

A great conceptual introduction to linear algebra without excessive number-crunching (after all, a computer can do the math for you now).

автор: Tahina F W R

Jul 30, 2018

I appreciated how teachers at Imperial London College showed practical aspects of linear algebra. I think it was a well condensed course.

автор: Bilal

Nov 07, 2019

A magnificent overture to ML and an excellent LA refresher. Excellent instructors. Some of the assignments were a bit hard but worth it.

автор: Sergii T

Oct 08, 2018

This is a good Course with nice lecturers. Thank you very much! Recommended to everyone who is interested in the Topic of Linear Algebra

автор: Shufei W

Apr 09, 2018

Very good presentations and I like the way you constructed the material, not just solving the equations. Thank you very much. Shufei

автор: 黄悉偈

Mar 18, 2020

A great course for ML. It is easy to understand and the coding work is useful. However, I expect more content covering more knowledge.

автор: Vibhutesh K S

May 16, 2019

It was quite intersting. Have studied these vector operations previously but havn't paid much emphasis on the geometric point of view.

автор: Alex C

Sep 02, 2019

Very good explanation!

I have READ linear algebra for not less than 5 times, this course explained the concepts so well and I LEARNED!