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
This is a well designed course, with the right balance of theory and practice. The quizzes and programming assignments reinforce the material effectively.
创建者 Alagu P P G
•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
创建者 Daniel H C
•The material was very well presented, and the exercises were helpful for learning
创建者 Olivio A C J
•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.
创建者 Eduardo A
•This is a well designed course, with the right balance of theory and practice. The quizzes and programming assignments reinforce the material effectively.
创建者 k v r
•poor presenation
创建者 Xingxing T
•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.
创建者 Carlos M V R
•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.
创建者 Ruthlyn N V
•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 :)
创建者 Kevin A G D
•I learnt a lot with this course, good introduction to linear algebra, and good guidance to the use of sk-learn for Machine Learning.
创建者 Tan Z
•Good, but have few examples and exercises.
创建者 Roger S
•Very conventional and theoretical way of presenting the stuff. There are some Python exercises, though.
Not much course materials.