Mathematics for Machine Learning: Multivariate Calculus に戻る

4.7

2,044件の評価

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307件のレビュー

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....

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.

Nov 26, 2018

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.

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by Eric P

•Apr 09, 2019

Challenging in places but another great speedy introduction to the relevant maths and how they are applied to ML. The best thing about this course is that you learn the general mathematical concepts and then see them in action in ML through examples and exercises. It's great. I used this course to refresh my maths skills learned long ago. I also found the pace good: neither too slow or too fast. The course would probably be quite challenging for someone who never had exposure to the concept of matrix algebra or derivatives.

by 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.

by J A M

•Mar 11, 2019

Excellent class! Understanding the math "under the hood" of the Python, Matlab, and R libraries is indeed the missing link holding back many data scientists from truly achieving competence and excellence. This course addresses such lacunae squarely by tackling a robust menu of relevant mathematical methods. Well done and kudos to Imperial College for taking the initiative.

by Anbu V

•Mar 04, 2019

Good revision for the calculus' application in ML

by Jevon K M

•Mar 09, 2019

My current (2019.03.09) employer hates it. Therefore I love it.

by ash g

•Mar 18, 2019

I am enjoying this course massively. I am on week 5 and the lecturer has been great so far. Some of the programming assignments are a bit easy as in some cases the blanks to fill in are rather self-explanatory.

The exercise questions progress in difficulty nicely and are sized well. References to tackle more questions to solidify the understanding could be good, however I recognise that the aim is to teach the intuition and then move on and apply it in Machine Learning examples, rather than being a mathematics course alone.

by Shraavan S

•Jan 06, 2019

The intuition is explained very clearly. Graphs in 2D and 3D are used effectively to clearly express the idea.

by Yiran X

•Jan 06, 2019

This is a great course! I have learnt a lot in this course. I have leant single variable calculus and linear algebra (freshman year difficulty), and this course is challenging but doable for me! All the assignments are designed carefully and interesting to complete! I would like to say thank you to all the instructors of this course:D

by Dominic D

•Jan 08, 2019

Very practical introduction to the subject, very well paced!

by Ronald T B

•Jan 21, 2019

Great course. make a difficult subject hand able greatly. worth time.

by 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).

by Andreas Z

•Jul 11, 2018

Just as good as the first course of this series.

by 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!

by Patrick L

•Sep 09, 2018

Fantastic overview/refresher of multivariate calculus, with links to ML / neural nets throughout.

by Kevin B

•Sep 21, 2018

Great coursework!

by Martin B

•Sep 23, 2018

Very useful discussion of a often difficult subject. Highly recommended!

by 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

by Luciano M

•Sep 15, 2018

Fantastic course with a very nice accent! :-)

by Ashutosh P

•Sep 16, 2018

Great comprehensive course for Mathematics behind ML.

by imran s

•Sep 29, 2018

This course helped me understand back propagation in mathematical sense. I highly recommend it.

by Toan T L

•Sep 30, 2018

A great course. Good for brushing up on Calculus.

High hope for the next course in the series.

by Ashish R

•Aug 27, 2018

Excellent Course!

by Artem D

•Aug 10, 2018

I really liked the teachers and everything they prepared for the students.

Lectures are entertaining, not boring.

Assignments are interesting. Especially, i've found very useful the structure of learning: (1) you have a short lecture, (2) you have a small quiz which continue to intriduce you to the topic and in parallel let you to try it on practice - it was really great!

Thank you a lot! I loved this course (as a previous one) so much!

by I G P

•Aug 29, 2018

Very Intuitive. :)

by Alexei S

•Aug 29, 2018

Great course. Thank you guys!