JT
2018년 11월 12일
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.
DP
2018년 11월 25일
Great course to develop some understanding and intuition about the basic concepts used in optimization. Last 2 weeks were a bit on a lower level of quality then the rest in my opinion but still great.
교육 기관: Timo K
•2018년 4월 3일
Just a great course for getting you ready to understand machine learning algorithms. The chapter on backpropagation is simply outstanding and the programming assignments are awesome!
교육 기관: Laszlo C
•2019년 11월 21일
It's a very intuitive re-introduction to multivariate calculus with edifying programming assignments and quizzes. I highly recommend this course for anyone who wants to tap into ML.
교육 기관: Mark C
•2018년 7월 30일
As good as the first class in the Math for ML series. Instruction was interesting. Questions were not too confusing. Clearly a lot of time was spent producing this class. Thank you.
교육 기관: Mohit
•2020년 10월 31일
After completing i relate maths with real world ,How hard the topic is but all the teacher complete it nicely in a simpler manner ,I am so happy today i complete one more course
교육 기관: Arihant J
•2018년 7월 19일
Nice course. Ppl with who don't have some experience with the content may find the instruction too sparse. But for someone with a decent background its a fucking fantastic course !
교육 기관: Wang Z
•2018년 7월 2일
A wonderful course. I learnt a lot after struggling to finish it. Some foundations of calculus might be needed since the lecturer goes through differntiation in a tremendous speed.
교육 기관: Shailesh B
•2020년 5월 11일
Excellent contain and I enjoyed a lot during this course. Assignment part was very crucial because there was chance to improve our understanding by giving correct or wrong answer.
교육 기관: David C
•2018년 7월 25일
I highly recommend this course.
Every Machine Learning student have to do it. Some concepts is so clearly explained that you will be able to perform better in following ML studies.
교육 기관: Julia G
•2020년 11월 12일
I enjoyed a lot the visualizations and practical examples. They do help to improve mathematical intuition! Thanks a lot to the instructors, the lectures were clear and exciting!
교육 기관: David M
•2020년 7월 14일
Both instructors explained things very clearly and I felt well-prepared for the quizzes. The subject matter was challenging for me, but isn't that what this whole site is about?
교육 기관: Nagaradhika
•2020년 6월 9일
excellent teaching very good course for learners thank you so much for giving this pack of three courses . Tahnkyou coursera team, three instructors and Imperial college London
교육 기관: Dawn D
•2019년 3월 10일
Really good introduction for things like regression and gradient descent. An extremely good refresher for calculus and extension from what is taught in school (in UK at least).
교육 기관: Marco A P
•2020년 8월 27일
Very challenging course, but if you,re not afraid of numbers this is a great way to remember or "start to learn" advance and esential mathematic concepts for machine learning
교육 기관: Ramon M T
•2019년 9월 18일
Excellent course to understand what is behind the techniques and why not high-level functions that are used in machine learning programming. Thanks for your teaching Dave, Sam
교육 기관: Marina P
•2019년 8월 28일
Very practical and useful! I got an idea about what neural network is and what is inside of the regression algorithm. I enjoyed the course, although it was quite challenging.
교육 기관: Lalit D
•2021년 9월 1일
Really insightful course, the coding exercises are supposed to be intermediate level but are more beginner friendly. So that's a plus point if you are a beginner in Python.
교육 기관: Rishabh A
•2019년 6월 9일
Loved the course. Backpropogation section needs more elaborate explanation, where are we doing dot products, where are we doing matrix multiplications, things go confusing.
교육 기관: THIRUPATHI T
•2020년 5월 21일
Excellent course for learners who likes self-learning. They will enjoy a deep understanding of the multivariate notions like the Hessian, Taylor series, and Regression.
교육 기관: Marwa A E K
•2019년 11월 12일
This course is really informative and builds intuition for the topics covered, I'd like to specially thank Sam for his amazing way of teaching and his visualizations :)
교육 기관: Вернер А И
•2018년 3월 17일
Excellent course. The material is taught in a precise, clear and intuitive manner. It would be great if a summary of the course will be given in form of some document.
교육 기관: ASIFIWE E
•2021년 3월 3일
Strongly agree that, this is best course ever at the beginning of Machine Learning journey. Thank you Dr. Sam and other lecturers. thank you so much Imperial College
교육 기관: VARUN S
•2020년 11월 8일
It was way difficult compared to what I thought. Though I did not understand 100%, it gave me confidence to dig deeper if required. Thanks for this wonderful course.
교육 기관: Shammunul I
•2020년 4월 12일
One of the best courses on mathematics for machine learning. I already knew Calculus but this course reinforced and clarified many of these already learned concepts.
교육 기관: Chi W
•2018년 5월 17일
Excellent course! It helps understand to take the sandpit as an example for learning Jacobian, Hessian and steepest algorithm stuff. More than boring math formulas.
교육 기관: aya t
•2020년 8월 6일
I really like this series so far and felt in love with instructors and the way they teach ,and i am so excited to the third and last course of this specialization.