Mathematics for Machine Learning: Multivariate Calculus に戻る

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

4.7
4,260件の評価
762件のレビュー

コースについて

This course offers a brief introduction to the multivariate calculus required to build many common machine learning techniques. We start at the very beginning with a refresher on the “rise over run” formulation of a slope, before converting this to the formal definition of the gradient of a function. We then start to build up a set of tools for making calculus easier and faster. Next, we learn how to calculate vectors that point up hill on multidimensional surfaces and even put this into action using an interactive game. We take a look at how we can use calculus to build approximations to functions, as well as helping us to quantify how accurate we should expect those approximations to be. We also spend some time talking about where calculus comes up in the training of neural networks, before finally showing you how it is applied in linear regression models. This course is intended to offer an intuitive understanding of calculus, as well as the language necessary to look concepts up yourselves when you get stuck. Hopefully, without going into too much detail, you’ll still come away with the confidence to dive into some more focused machine learning courses in future....

人気のレビュー

DP
2018年11月25日

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.

JT
2018年11月12日

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.

フィルター：

Mathematics for Machine Learning: Multivariate Calculus： 101 - 125 / 760 レビュー

by Tash B

2018年9月5日

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.

2020年5月15日

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 !

by Jafed E G

2019年7月6日

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

by Jonathan F

2018年7月29日

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.

by Saikat C

2020年2月14日

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.

by Zixuan Y

2020年1月27日

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 ;)

by Nigel H

2018年4月18日

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

by Mike

2020年1月13日

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.

by zohair a b

2020年6月2日

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.

by Olivio A C J

2020年10月19日

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.

by Rafael E

2020年8月21日

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.

by jie

2020年6月11日

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.

by Sagar L

2020年3月12日

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.

by Nataliya M

2018年11月17日

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!

by Loay W

2019年8月1日

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.

by Francisco R A

2019年10月29日

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.

by Deepak n

2019年1月3日

Superb course !! This course had a lot more application oriented problems and the instructor helped us visualise the intuition behind Math ! Looking forward for more of such courses from the Imperial College of London..

by Gilsiley H D

2020年8月4日

Interactivity in exercises, illustration in videos explain really in a new manner advanced topics, bacaming easy to understand. I amazing all. I recommend, but you need have a good understand in algebra and calculus.

by John F

2020年5月1日

Great course. In my view students need to supplement their learning with material from the Kahn Academy and 3Blue1Brown youtube channel - as recommended in the resources section of the course. Thanks to David and Sam.

2019年11月7日

This course is really the BEST course for learning Multivariate calculus. Believe me, if you want to be an expert machine learning or data scientist, this course is crucial for you. Thanks a lot to Imperial College :)

by Jimmy K A

2019年2月3日

This is a great course to brush up your machine learning maths, this course describes backpropagation nicely and how its derived. Large part of this course is focused on optimization in which calculus is mostly used.

by Sertan A

2020年11月15日

It requires lots of outside research but in the end, it worth the effort! Also, I felt an absence right after finishing this course. I feel like I had the chance to understand the glimpse of lecturers' perspective!!

by Horacio G D

2019年7月26日

I really like this course. It goes over the multivariate calculus concepts and explains them in a very intuitive way referring to the univariate case. it's still very easy for people have seen the material before.

by Arthur T R

2018年10月11日

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.

by Phuong A V

2020年8月2日

It is very challenging course. I have to watch the video many times. But the explanation in the practice quiz is very useful. It helps me to review the lectures and try some complicated function. No pain no gain