GB
Aug 17, 2020
The instruction was good throughout, but I would urge fellow students to take the time to work through the problems as suggested. Also, the eigen- stuff is quite tricky and can fool you. Be careful.
CS
Apr 1, 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.
By Ajay S
•Feb 21, 2019
A great course to learn mathematics for machine learning . Learn a lot thanks for providing me financial aid for the course.
By Zhike C (
•May 23, 2020
Very, refresh my knowledge and help me build the intuition about linear algebra. Linear algebra became fun and easy for me.
By Saransh G
•Apr 12, 2020
One of the best courses on Linear Algebra (in a 4-5 week format) that focuses on building intuition using different lenses.
By Saras A
•Dec 11, 2019
Very quick thorough covering of the fundamentals of Linear Algebra as applicable to ML.
It has some decent Python stuff too.
By Kenny G
•Jul 30, 2019
Loved the course, the difficulty is a bit uneven between some lessons but overall, I am satisfied with the overall quality.
By Aditya B
•Apr 24, 2018
A beautiful course to give you an insight about the geometric interpretation of ML and get an intuition of various concepts
By Dibyanshu S D
•Aug 26, 2020
One of the best mathematics course in Coursera. Probably the best introductory course for mathematics in Machine Learning.
By Md S S K
•Feb 3, 2019
It' like I am learning the vectors and the concepts of linear algebra with much more efficiency knowing where to use them.
By Hiep L
•Jul 6, 2024
Very friendly professors with and relatable material. Assignments are good, especially those involving coding activities.
By Farhan F
•Mar 25, 2022
This course is challengging and i satisfied because i can do it although i must write in my notes and calculate manually
By Артем С К
•Feb 23, 2021
I really liked this course, especially the labs on python. It thought me many new things, but some tests were really hard
By Carlos J B A
•Dec 4, 2020
An extraordinary course. In the end, you feel that you have a good basis for understanding problems that involve algebra.
By Henok T
•Sep 12, 2020
Really loved every moment of this course. The intuitive understanding you get from this course is priceless in many ways.
By Борох Д С
•Feb 1, 2020
нормальный курс, базовые вещи по линейной алгербре рассказаны, объем небольшой но то что рассказывается - весьма доступно
By shesh
•Jun 15, 2019
Awesomely interactive and renders decent coverage of subject.. would recommend it for every ardent learner of the subject
By haile b
•Aug 20, 2024
The course significantly enhanced my understanding of linear algebra and its practical applications in machine learning.
By Piyush A
•Jun 13, 2020
Superb course for revising the old concepts and learning new concepts, showing geometrical and arithimetic point of view
By Justin K
•Apr 28, 2019
Great course. Good use of animations during the lectures. The notes in the python projects help if you're new to Python.
By Behrooz S
•May 30, 2023
Everything is great in this course. highly recommend it for anyone who wants to learn Mathematics for Machine Learning.
By Kasia W
•May 2, 2020
A great course, really enjoyable. The concepts were explained well. Picks up in terms of difficulty level at mid point.
By Ramakrishnan.K
•Apr 21, 2020
Both the professors were charming! Excellently explained concepts with PageRank discussion being the icing on the cake.
By Hause L
•Aug 31, 2019
Excellent course that provides mathematical and geometric intuition behind the linear algebra used in machine learning!
By Mengchan G
•Apr 28, 2019
I like the accent of the professor! The context of the lesson is develop gradually which aids my understanding of math.
By Tirthankar B
•Apr 20, 2019
Excellent intro to Linear Algebra with clarity on concepts such as application of Gram Schmidt method and Eigenvectors.
By Кузьмин К Ю
•Aug 30, 2018
During this course i finally got intuition for many things in Linear Algebra that seemed to me too complicated before.