3 de ago. de 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.
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 Kuntal T•
13 de dic. de 2020
If you want to see the "Art of teaching", you must take or go through this course. Prof. Dye and Prof. Cooper explained the subject in a very nice way and I think every undergrad should take this course to clarify their understanding and for any person who whats to teach much watch it to learn how to teach.
por PODAKANTI S C (•
5 de ago. de 2022
I loved the way of teaching and concepts that are explained are awesome. I know some concepts in this course already but when I started to learn in this course, I saw the concept in the new dimension. The course is equipped with high content, extraordinary teachers and user-friendly platform.
por Umesh S•
11 de dic. de 2020
Excellent course !! .. nice balance of mathematics and intuition building. Pace is fast but its fun. Some assignments are challenging but very rewarding once you get it right. Will recommend to all data science enthusiasts to go through this course to build right base before digging deep in ML algorithms
por Taranpreet s•
17 de sep. de 2020
I was quite satisfied with the learnings from the course 1 of the specialization, this course amazed me about how the calculus and linear algebra are knitted together to solve optimization problems efficiently. Quizes are very helpful in reinforcement of the concepts. Instructors are great as well.
por Xin Y•
16 de abr. de 2020
Excellent course! All concepts are clearly explained. On a difficulty scale of 10 with 0 being easiest and 10 being hardest, quizzes are around 4 and programming assignments are around 1. The lectures are very well designed, with quizzes helping to reinforce key concepts you learned in the videos.
por Nikesh K•
16 de abr. de 2020
I loved this course. Instead of going deep into mathematical terms, the professors try to create an intuition of those terms and the geometrical explanations further improve the understanding. So if you feel that you lack an understanding of the concepts then definitely go for this specialization
por David Z•
26 de nov. de 2020
Great layout of topics and amazing approaches of handling course materials. Provide a great feel of mathematics and its application. Wow, i can't say thank you enough. Having done the abstract Mathematics with computer Science, this has made meaning to the importance of the program i pursued.
por Rishav K•
1 de ene. de 2021
The course is excellent and informative, but keep in mind that it is not for absolute beginners. If one has some experience or if one is willing to take reference from other sources available on the internet. Then, it would certainly improve one's understanding of the underlying mathematics.
8 de abr. de 2020
Great foundation course on maths involved in Machine learning . Also such a refreshing view on calculus that is taught in bachelor degrees of engineering. I was able to visualize each concept taught here thus making the learning much more fun and easy to remember, thanks to the professors.
por Duc H B•
16 de dic. de 2021
Wowwwww!!! I didn't learn math for a long time, about 2-3 years, and this course help me to recall my knowledge and learn somethings new.
It help my skill in math stronger and have a foundations for machine learning.
Big thanks for this course, for teacher and the Imperial College London.
por Nguyen N D•
13 de jul. de 2020
I learned a lot from the materials. I found the programming assignments in every module is really fascinating with some really cool outputs! The instructors had smooth explanations, easy to understand. But one thing to improve is to have more examples of its applications in real life.
1 de may. de 2020
The class is great, give you the fundamentals of multivariate Calculus, made me remember a lot and I have learnt a lot as well. A lot of work with you do everything yourself but it is fun specially because they mix the math on the paper and the math on the coding (python) really fun.
por LayKuan L•
26 de dic. de 2019
The focus on building intuition about why were are using a certain technique to approach a certain problem, instead of grinding on endless calculus problems in a traditional undergraduate class is very helpful for learning quickly - the class covers a lot of material in a short time.
por Mikhail D•
24 de may. de 2020
As good as the linear algebra course. Lots of important concept in calculus explained in a visual, intuitive way, without bothering the students with too much detail but making sure that they actually understand the concepts well. Both instructors and great and passionate lecturers.
por Maksym B•
20 de sep. de 2020
Great course with an emphasis on intuition. The course is not complicated if you have taken calculus at school. It was a good refresher for me for basic calculus concepts and it has provided with great high-level understanding of the mathematical objects like Jacobian and Hessian.
por Alagu P P G•
24 de jul. de 2020
this is a great refresher course for the intermediary basic on multivariate calculus.what you would learn is the math behind data analysis-regression,hessian,Jacobian more of the application of multivariate calculus.AND DO VISIT KHAN ACADEMY +FORUMS FOR FURTHER CLARIFICATIONS
por Arka S•
27 de may. de 2020
A great course. Engaging videos, understandable and solvable quizzes and assignments, and enthusiastic instructors. Gained a lot of insight into the topic, and this is coming from a person who has done Multivariate Calculus in University. Loved the part on Taylor's theorem.
por Rob O•
31 de may. de 2020
This is an excellent refresher course on differential calculus emphasizing applications to machine learning. Exercises and quizzes are a mixture of solving problems by hand and completing Python coding challenges. I found this course to be very effective and worthwhile.
por Niju M N•
26 de mar. de 2020
Multivariate Calculus - part of Math for machine learning is a good course to brush up your math skills or to learn the basics of Calculus behind ML. Its a introductory course that helps to understand Taylor series, Jacobians , Hessians. OverAll this is a good time spent
por John M•
10 de abr. de 2021
I thought the first half was better than the second, but I have taken a couple of courses on this stuff, and often the teachers get bogged down in the coding and fail to really 'explain' why the math works. I thought this was one of the better courses in that regard.
por Kuldeep J•
25 de ago. de 2019
All the mathematical constructs and deep calculus was explained in a very intuitively with the help of visually rich animations. It seems the course content creators have spent good amount of effort in creating animations for every little useful thing, kudos to them.
por Bryan S•
19 de feb. de 2019
I began this course without any knowledge of calculus and I was still able to get along decently well. I did a bit of supplementary work using Khan Academy but that was more to ingrain the calculus knowledge gained (product rule, chain rule, etc) within this course .
por Siddharth S•
28 de may. de 2020
Very Intuitive and well designed course. I just feel that covering mathematical intricacies could help in better understanding of the concept and its application. Also I feel that this course of the specialization being very application based lacked coding exposure.
por Carlo C•
5 de sep. de 2020
The course is interesting and well organized.
Lack of Pyton knowledge from my side is sometimes critical to solve some exercises...
It's my intention, as soon as I'lI have complete the three couses, to attend a Pyton course to complete my preparation.
por Dr. N D•
28 de jul. de 2020
Nice designing of the course. The perfect combination of mathematics and applications. Nice videos, well explanation of concepts along with the application. A good bridge between mathematics and its applications. Thanks to professors and Imperial College London.