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Back to Mathematics for Machine Learning: Linear Algebra

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11,458 ratings

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....

PL

Aug 25, 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.

HE

Aug 8, 2021

the instrutors were too good and their explination for the concepts was to the point and it made me realize things in linear algebra I didn't know before although I studied it in school of engineering

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By David H

•Dec 17, 2018

Well designed for students who want to understand Linear Algebra for ML.

By Hu J

•Jun 22, 2020

Clear explanations by the professors and good guided hand-on practices.

By Alaa M K A

•May 15, 2020

جدا ممتاز ولكن احيانا الكويزات لاتتواافق مع حجم معرفة المهارات البرمجية

By Nelson H

•Mar 29, 2020

Very good to learn the intuition behind so many matematical operations.

By Romesh M P

•Nov 21, 2019

Gave a nice intuition to the subject and that was exactly what I needed

By Dawn D

•Feb 6, 2019

Well presented, easy to follow and very good explanations and examples!

By Prithwijit G

•Jun 6, 2022

One of the best course I have ever learnt from coursera......thank you

By Rusiru R

•Dec 17, 2020

A really important course for a beginner in the machine learning area.

By SENTHILVADIVEL S

•Aug 30, 2020

Amazing course . I really know what is matrix only after this course .

By Jake L

•Jun 6, 2020

Amazing course! The two tutors explanations of each topic are amazing!

By THIRUPATHI T

•May 19, 2020

This is an excellent course, I recommend this for every mathematician.

By Deleted A

•Jan 19, 2020

Highly recommended for anyone who is starting out in Machine Learning.

By Vishesh K

•Dec 9, 2019

I read the linear algebra in my first year but I understand it now....

By Pierre P

•Jan 19, 2019

Great teacher, great course, easy to understand but still challenging.

By Sugir T

•Mar 18, 2022

This course was very interesting and I really enjoyed it. Thank you.

By Alireza K

•Jun 29, 2021

I really enjoyed the way the both instructors explained in all videos

By Kaustubh S

•Nov 18, 2020

The best thing about this course is intuitive explanation of concepts

By Alireza A

•Aug 13, 2020

it was really good and helpful. bright lecturers and amazing contents

By Gustavo S S

•Aug 5, 2020

Excelente curso! Se aprenden cuestiones de mucho interés y relevancia

By Divesh K

•Nov 9, 2019

Outstanding course, great teachers and beautiful visualisation tools.

By Zecheng W

•Sep 14, 2019

Awesome course. Could be improved by having more guidance on homework

By Anthony S

•Sep 14, 2019

Great course and taught me insight into why linear algebra is useful!

By Cristiana G G

•Jul 14, 2019

Great course, with amazing intuitions and nice programming exercises.

By Chokdee S

•Jul 14, 2019

It's a great course for studying Algebra especially vector and metric

By RAVITEJA A

•Aug 30, 2018

The intuitive way of teaching the subject is simply awesome.Good job.

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