임페리얼 칼리지 런던의 Mathematics for Machine Learning: Multivariate Calculus 학습자 리뷰 및 피드백
강좌 소개
최상위 리뷰
JT
Nov 13, 2018
Excellent course. I completed this course with no prior knowledge of multivariate calculus and was successful nonetheless. It was challenging and extremely interesting, informative, and well designed.
SS
Aug 04, 2019
Very Well Explained. Good content and great explanation of content. Complex topics are also covered in very easy way. Very Helpful for learning much more complex topics for Machine Learning in future.
Mathematics for Machine Learning: Multivariate Calculus의 622개 리뷰 중 201~225
교육 기관: Shraavan S
•Jan 06, 2019
The intuition is explained very clearly. Graphs in 2D and 3D are used effectively to clearly express the idea.
교육 기관: Ng H
•May 30, 2020
Excellent course on multivariate calculus, concepts are well taught and easy to understand by the professors
교육 기관: Aleksey I
•Apr 22, 2018
Great course. Might be missing a few small details that will be hopefully filled in for the next iterations.
교육 기관: Mohammad S A
•Nov 29, 2019
this is a very good course to learn machine learning basics. I will suggest this course to my friends also.
교육 기관: Mahrukh T
•Oct 06, 2019
Amazing course to gain firm understanding of mathematical concepts underlying Machine Learning! Thank you.
교육 기관: Chokdee S
•Aug 14, 2019
It's really great course who want to study gradient decent using multivariate calculus from the ground up.
교육 기관: Alphanso W
•Dec 22, 2019
For the first time, I understand calculus. The explanations are clear and I am able to follow. Thank you.
교육 기관: Eric
•Jun 30, 2019
quite challenging. when get confused dont give up; look for other sources for explanations. great course.
교육 기관: Ashlee H
•Nov 23, 2019
Helpful look into the more specific details to the mathematics behind core concepts of machine learning.
교육 기관: Edwin G P P
•Oct 04, 2019
It is a very good course for learning about the basic mathematics for machine learning and python tools.
교육 기관: Jens W
•May 03, 2020
This course is very well build and keeps a perfect balance of being demanding without being frustrating
교육 기관: Prerak S
•Aug 15, 2018
Good Brush Up For The Reuired Mathematics tools for ML And Data Science as far as calculus is concerned
교육 기관: Tan S G
•Jun 27, 2020
a very good course if you look forward to specialize in the mathematics of the machine learning field.
교육 기관: Lin T
•Sep 03, 2019
Dr. Cooper explains the concepts clearly. The compelling graphics also provides good intuition for me.
교육 기관: Deleted A
•Jun 15, 2019
Helped me understand the underlying match concepts in machine learning and did help me professionally.
교육 기관: Devamanyu H
•May 02, 2019
This course provides a comprehensive overview of fundamental math and intuition used in optimization.
교육 기관: DEEP C
•Jun 10, 2020
i totally love this course which seems to understand about the NATURE
which we are IN..............
교육 기관: Huang X
•May 06, 2018
Really good course, I learned a lot from here. This course makes me feel that math is neat and cool.
교육 기관: Christopher R
•Apr 13, 2020
Down and dirty explanation of multivariate calc. I wish I had this prior to calc 3 back in the day.
교육 기관: harish h
•Mar 08, 2020
Excellent course for those who wish to learn maths behind some algorithms used in Machine Learning
교육 기관: jinesh p
•Apr 02, 2018
Everyone should take this course before jumping into machine learning algorithms and applications.
교육 기관: Patrick L
•Sep 09, 2018
Fantastic overview/refresher of multivariate calculus, with links to ML / neural nets throughout.
교육 기관: Iurii S
•Mar 26, 2018
Great introduction to Multivariate Calculus with a lot of visualizations to prop up the intuition
교육 기관: sujit j
•Aug 21, 2018
Got excellent understanding of gradient descent in case when there are multiple stationary point
교육 기관: Mayank C
•Jul 27, 2020
The instructors explains things so well, this course makes you understands concepts intutively.
