学生对 俄罗斯国家研究型高等经济大学 提供的 First Steps in Linear Algebra for Machine Learning 的评价和反馈

with great assignments,one could get relation of LA with computer science.For naive english it could hurdles at first.but nice content.must for intermediatory

The material was very well presented, and the exercises were helpful for learning

poor presenation

It is a good course. It mixes theory and practice with Python in a right way and I could learn/review a lot. It has also the right amount of coursework. It is always a pleasure to study using the courses from Coursera. As a lifelong learner I want to be permanently engaged in online courses, from Coursera, EdX ou Youtube. It is the future of Education.

This is a well designed course, with the right balance of theory and practice. The quizzes and programming assignments reinforce the material effectively.

I learnt a lot with this course, good introduction to linear algebra, and good guidance to the use of sk-learn for Machine Learning.

Bad Presentation and dead forum!

The program is really useful for exploring machine learning. I appreciate that the math involved are so relevant to SVM, even though I am BA major and do not have strong math background. I just need put enough time and go through each example. That's where I find this course very suitable. Plenty examples to explain the concepts.

A really nice course, i learnt a lot...the practical at the end was hard but good. I had to google a lot to find some nice tutorials to follow at medium! Would have been nice if that was a little easier with some easier python building up to the project! but learning by doing etc.

This is a great courses, sometimes explanations could be better but in general is awesome and they teach us good applications of linear algebra in the field of machine learning. I would like to rate this course with 4.5, but Coursera does not allow us to rate in that way.

You can improve a little bit your teacher's English. Still, I could find yet something this deep on algebra and machine learning on Coursera. It was worth taking.

I don't want to do this one anymore

Great, Great course! The course makes it easy to connect the theory of Linear Algebra and applied Machine Learning. I would recommend it to those who have taken an undergrad Linear Algebra course and want to apply that knowledge to something meaningful such as Machine learning.

The programming assignments were really challenging! I thought I'm not gonna pass this course since it's my first time to encounter Python language. Thank you so much Prof. Piontkovski and Prof. Chernyshev for the new learnings :)

Quite challenging but necessary to have a deeper understanding of machine learning algorithms

Me gustan la matemáticas, pero combinar la programación es cosa de locos, genial este curso.

Excellent course. It explains really good the Linear Algebra fundamentals for ML

G​ood overview over the topic. Could be one or two week longer. Liked it.

Good, but have few examples and exercises.

i've passed. thanks

Very conventional and theoretical way of presenting the stuff. There are some Python exercises, though.

Not much course materials.

Guys, you need to master English or talk in Russian. It is really difficult to follow.