25 de nov. de 2018
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.
12 de nov. de 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.
por Xavier d L C•
23 de ene. de 2021
This course is exactly what I had in mind: (i) a review of the main multivariate results required for starting in machine learning; (ii) very good teachers; (iii) reasonable assignments
por Irene L•
25 de nov. de 2019
very good course about the math for machine learning, they teach every detail and I was able to complete the quiz and assignment just after class and don't have to seek help on Google.
por Marvin P•
6 de abr. de 2018
Just like the linear algebra one this course is absolutely awesome. The instructors provide structured insights, the assignments are well prepared. I'm amazed how much fun math can be!
por Timo K•
3 de abr. de 2018
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!
por Laszlo C•
21 de nov. de 2019
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.
por Mark C•
30 de jul. de 2018
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.
31 de oct. de 2020
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
por A J•
19 de jul. de 2018
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 !
por Wang Z•
2 de jul. de 2018
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.
por Shailesh B•
11 de may. de 2020
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.
por David C•
25 de jul. de 2018
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.
por Julia G•
12 de nov. de 2020
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!
por David M•
14 de jul. de 2020
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?
9 de jun. de 2020
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
por Pitiwat L•
14 de oct. de 2022
A lot of errors in lab and coding accessments. Many some exercises contain with a lot of latex code that it very hard to read. But, overall I would rate this course 5 stars!!
por Dawn D•
10 de mar. de 2019
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).
por Marco A P•
27 de ago. de 2020
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
por Ramon M T•
18 de sep. de 2019
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
por Marina P•
28 de ago. de 2019
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.
por Lalit D•
1 de sep. de 2021
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.
por Rishabh A•
9 de jun. de 2019
Loved the course. Backpropogation section needs more elaborate explanation, where are we doing dot products, where are we doing matrix multiplications, things go confusing.
por THIRUPATHI T•
21 de may. de 2020
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.
por Marwa A E K•
12 de nov. de 2019
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 :)
por Вернер А И•
17 de mar. de 2018
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.
por ASIFIWE E•
3 de mar. de 2021
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