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.
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.
교육 기관: Marvin P•
Apr 06, 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!
교육 기관: Timo K•
Apr 03, 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!
교육 기관: Laszlo C•
Nov 21, 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.
교육 기관: Mark C•
Jul 31, 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.
교육 기관: Arihant J•
Jul 19, 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 !
교육 기관: Wang Z•
Jul 02, 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.
교육 기관: David C•
Jul 25, 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.
교육 기관: Dawn D•
Mar 10, 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).
교육 기관: Ramon M T•
Sep 19, 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
교육 기관: Marina P•
Aug 28, 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.
교육 기관: Rishabh A•
Jun 09, 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.
교육 기관: Marwa A E K M A Z•
Nov 12, 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 :)
교육 기관: Вернер А И•
Mar 17, 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.
교육 기관: Chi W•
May 17, 2018
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: Akshaya P K•
Jan 03, 2019
Thank you! This was an excellent course. I think it would engage learners of any level. quality of the content, delivery, exercises and assignments were impeccable.
교육 기관: Andi S•
Mar 01, 2020
It was a difficult topic, but it is satisfactory to understand the foundations behind the Gradient Descent algorithm. I am very satisfied with this course.
교육 기관: 郝亚洲(Yazhou H•
Jul 17, 2018
Nice course for those want to learn machine learning. I think if there is more rigorous content such as more advanced reading materials would be better!
교육 기관: Khandakar A H•
Jul 02, 2019
This course was amazing for me . I've learnt both the use of calculus and coding with it . now I can better understand mathematical tools and it's use.
교육 기관: Tse-Yu L•
Mar 12, 2018
Review course for multivariate calculus and basic optimization method used for curve fitting. Suggest to provide more hint for programming assignment.
교육 기관: Arunish S•
Jul 27, 2019
The best calculus lectures so far. It really helps you o dive into the concepts of calculus used in machine learning and covers every core concepts .
교육 기관: Sailesh N•
Oct 16, 2019
I had very good experience learning this course. I have learnt the real life application of calculus. The explanation of each videos was very good.
교육 기관: Yana K•
Apr 11, 2019
Great course, very good introduction into calculus for ML. Great explanation of neural networks and math used for them. A bit tricky last 2 weeks.
교육 기관: Saurav B•
Nov 25, 2018
An intuitive introduction to multivariate calculus and its applications in Machine Learning - the perfect course for a budding computer scientist.
교육 기관: Mohamed R•
Sep 10, 2018
one of the best courses I have ever had.
thanks to instractors and Imperial College London
thanks so much for that specilization it helped me alot
교육 기관: Aaron B•
Jun 10, 2018
Excellent class! I feel like I finally understand calculus after all the rote memorization I had in my high school and college calculus courses.