インペリアル・カレッジ・ロンドン（Imperial College London） による Mathematics for Machine Learning: Multivariate Calculus の受講者のレビューおよびフィードバック

I found this one to be probably one the best courses on neural network if someone is keen to learn the underlying mathematics of it. The content of the course is very concise, enough to cover the most important parts that are required to learn machine learning and just enough depth. The quizzes and assignments are of excellent qualities. Overall, I will highly recommended this course.

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.

Totally like it!!!! Really fundamental and both of the two lecturers have made every important key points quite clear.

Pretty Awesome!

Very well teaching.

Nice course. Except the graph of the last assignment won't show.

Excellent for reviewing the main concepts of Matrix Algebra and learn some few new topics. This course also gives a great intuition on how things work graphically, which increases our understanding of the topic.

This one is a very good course and also very well organized. I also have used khan academy for making things clear

From basic concept to profound and practical calculation

it was awesome learning this course

Great course with highly relevant material.

Great course! Especially the first half.

very good

Excellent course. Instructors are clear and to the point.

Great lectures augmented with interesting and practical coding assignments. I really enjoyed this course on multivariate calculus.

A most intuitive way of learning calculus. Great 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!

Absolutely loved every moment!!!!

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!

good

Really helpful and informative course. Different from the traditional math course, this course focuses on the intuitive understanding of math rather than the calculation. The calculation part are done by python code, which lays a foundation for further machine learning course and shows how the mathematical concepts are used in practice.

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.

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.

Really clear, provided a thorough understanding of how steepest descent / ascent works.

Very high quality lecturers and material.