I've always felt intimidated by maths and it stopped me from really understanding machine learning and the different algorithms used. This course does a great job of making calculus understandable and demonstrates why it is so useful for ML.

Excellent course for learners with a little background knowledge in mathematics, python and neural networks. very intuitive and useful. Assignments are a little bit difficult in last few weeks but you can handle it. Thanks Imperial College!

The instructors are very enthusiastic and novel in their approach to teach which makes it very enjoyable to learn from them. Looking forward to completing this specialization and then learning more about ML and AI.

Thank you so much Coursera

Excellent course. All concepts have been delivered in a great manner making things clear with good examples. Questions appear at appropriate times during the video to make sure that the concepts presented in the video are being understood.

Great learnings from this course. Feels very confident in the diving deeper into ML concepts. I would recommend anyone who wants to walk in the domain of Data Science or ML should take this course to learn the foundational Math concepts.

standard short and crisp course. will do the job for what it is designed for. great explanations by mr. sam cooper and his visualization team at imperial. and mr.david also done a great job. overall worth spending funny jelly belly time.

This is a great course for Data Science aspirants. It helps to build a strong mathematical foundation and intuition necessary for solving challenges in Machine Learning and Deep Learning. The course is well-structured, engaging and fun!

This is the first course i took on coursera and also is the first course the mathematics for ML. I have no much mathematics background but I have learned a lot from the course. The coding is a bit challenging , but the Forum is HELPFUL.

Although difficult, this course makes sense of what is happening under the hood in training machine learning models. Instructors explain things well and the assignments gave opportunities to practice. I thoroughly enjoyed this course.

The thing I love about this course and the previous one, is how they make these heavy equations and stuff that we learn in school and university meaningful.

The instructors are very good, and the topic was handled perfectly. Well Done !

I enjoy the lectures. The professor has a good speaking and teaching style which keeps me interested. Lots of concrete math examples which make it easier to understand. Very good slides which are well formulated and easy to understand

Following on from the Linear Algebra course, this is equally excellent. Again, the main enjoyment comes from seeing techniques learnt at school (partial derivatives, Taylor series, Newton-Raphson, etc) actually being used in practice.

Excellent course. It provides all the math required to understand machine learning in a deeper level with everything explained. This course connects all the necessary ideas and provide a coherent view of machine learning mathematics.

I found this to be a valuable overview to calculus. The course could be improved by including more explanations for answers, as sometimes I wasn't sure how a given answer was derived, but it was a worthwhile use of my time overall.

I have learnt Calculus 1 before, so this course is much easier for me than the first course in the specialization. With the notebook tool, I now know how to put derivative into python. The teachers are really good. Thanks a lot ;)

A change in staff from Imperial but the same enthusiasm; high standards of teaching mean you are going to get a lot from this course. Lots of examples and the practice quizzes really help with the consolidation. Great stuff.Thanks

A great course which covers the necessary aspects in a very interesting and intuitive way. Makes really good use of graphics, rather than only pure maths, in order to give an intuitive sense of what's happening behind the magic.

Awesome course. I've always thought of math as a burden. Never really liked it. But this course has made me fall in love with mathematics. The way the instructors taught different concepts and put them all together was amazing.

A really fine course with a correct balance between theory and practice. I learned a lot about multivariate calculus applied to machine learning. This course is really very helpful for anyone wanting to learn machine learning.

I've never gotten such clear explanations during my undergraduate course, even in the graduate courses that I did. Practical exercises and visual resources help a lot to assimilate abstract concepts. I strongly recommend it.

Excellent course. I almost forgot everything i learned at college. I never thought I could regain all these knowledge with ease (was very painful back in college) . Samuel Cooper is probably the best instructor at coursera.

A really nice course in the series. Quite useful from the perspective of the back end mathematics of ml techniques like Neural Networks. Anyone who wants to work in this domain, would be more than satisfied with this course.

Despite there being some mistakes in videos, this course is a nice introduction to Multivariate Calculus with application to Machine Learning and Data Science. Assignments are fairly challenging and also very interesting!

Thanks to the simple demonstration, and the interactive learning, I feel I can interpret the math as a new

language I can read and speak with, it was an interesting and core skill to have,

as a machine learning engineer.

Great course, I really enjoyed it. The way of teaching visually rather than theoretically keeps those that get lost in formulae like me on track. The visual explanation of what a derivative is helps a lot for instance.