임페리얼 칼리지 런던의 Mathematics for Machine Learning: Linear Algebra 학습자 리뷰 및 피드백
강좌 소개
최상위 리뷰
NS
Dec 23, 2018
Professors teaches in so much friendly manner. This is beginner level course. Don't expect you will dive deep inside the Linear Algebra. But the foundation will become solid if you attend this course.
PL
Aug 26, 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.
Mathematics for Machine Learning: Linear Algebra의 618개 리뷰 중 151~175
교육 기관: Ashutosh P
•Jul 16, 2018
Great course to start ML preparation.
교육 기관: jim p
•Jul 15, 2018
While not particularly difficult material, course seems designed to build intuition more than just grinding tediously through the mechanics. Grounded in practical examples. And extraordinarily well presented.
교육 기관: Bernard P
•Jul 16, 2018
Very helpful insight into linear algebra for ML, also introduction to numpy usage
교육 기관: David P
•Jul 10, 2018
Great content, lecture videos are brilliant. I would make one suggestion; it would be great to have more examples or even recommend text books that we as learners can download or purchase, this will assist those who wants to learn these techniques in practical examples. Other than that I have learned alot and will continue using coursera, good job guys
교육 기관: Kamil G
•Jul 11, 2018
Great content, clarity and visualisations. I found this course extremely useful, it gives me fundamentals to understand more advanced machine learning problems.
교육 기관: Nitish K S
•Jul 14, 2018
short and informative !
교육 기관: Le N P
•Jul 11, 2018
many thanks
교육 기관: Yevhen D
•Sep 09, 2018
Nice course. Good examples, programming assigments!
교육 기관: Lee F
•Sep 07, 2018
Enjoyed the course a lot! It stretched me at times, and I definitely got what I needed and know where to go to fill in any knowledge gaps in the future.
교육 기관: SUJITH V
•Sep 09, 2018
This course has exceeded my expectations in some ways. I was just trying to get a refresher in basics of Linear Algebra. The intuitive understandings presented in the course were really helpful and gave me a better understanding of the concepts which I only learned mechanically before.
교육 기관: Bishal L
•Sep 22, 2018
The course was concise but intuitive.
교육 기관: Martin B
•Sep 23, 2018
Very good. Excellent inroduction and highly accessible!
교육 기관: Chenyu W
•Sep 24, 2018
Very Good and Useful Course!
교육 기관: ELINGUI P U
•Sep 26, 2018
Great course, I loved it
교육 기관: shariq
•Sep 26, 2018
Its good course for anyone who has to build basics.
교육 기관: Alan S
•Sep 13, 2018
The course for every engineer who want to refresh math skills before trying data science.
교육 기관: Daya_Jin
•Sep 28, 2018
讲得很清楚，视频内容的展示方式也很独特
교육 기관: Shashank S
•Sep 14, 2018
A very nice introduction of linear algebra from applications in machine learning perspective.
교육 기관: Toan T L
•Sep 30, 2018
A great course in a good series
교육 기관: LINGYUN D
•Sep 16, 2018
Thanks for your gentle teaching through five weeks. I have a suggestion for WEEK5: the final exam answers could be more detailed as students can revise their coursework. All the best
교육 기관: AKSHAY K
•Sep 16, 2018
It's a great foundation course for anyone who wants start their journey in Data Science.The content is relevant to ML applications.
교육 기관: Hamza a
•Aug 25, 2018
A Very good course to get knowledge of linear algebra and its applications to ML and data science
교육 기관: Patrick L
•Aug 26, 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.
교육 기관: Daniel U
•Aug 13, 2018
Excellently presented, well-paced.
교육 기관: VAIDYANATH H
•Aug 12, 2018
The course was very well taught and went on smoothly with no pressure
