Mathematics for Machine Learning: Multivariate Calculus(으)로 돌아가기

4.7

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387개의 리뷰

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....

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.

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.

필터링 기준:

교육 기관: Zixuan Y

•Jan 27, 2020

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 ;)

교육 기관: Nigel H

•Apr 18, 2018

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

교육 기관: Mike

•Jan 13, 2020

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.

교육 기관: Nataliya M

•Nov 17, 2018

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!

교육 기관: Loay W

•Aug 01, 2019

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.

교육 기관: Francisco R A

•Oct 29, 2019

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.

교육 기관: Deepak C

•Jan 03, 2019

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..

교육 기관: Mohammad A M

•Nov 07, 2019

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 :)

교육 기관: Jimmy K A

•Feb 03, 2019

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.

교육 기관: Horacio G D

•Jul 26, 2019

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.

교육 기관: Arthur T R

•Oct 11, 2018

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.

교육 기관: Helena S

•Feb 28, 2020

The best course in the specialization. The material is very abstract, but the Lecturer's explanations are so clear that it seems easy - even though it isn't! A model course. I've learned a great deal. Thank you!

교육 기관: caterina w

•Apr 02, 2019

So glad the Professor made it back - he didn't show up until week 5. He's so charismatic and funny to watch. I learnt loads from this module and really appreciate the 'audit access'. Power to the People :)

교육 기관: Rishik R

•Dec 15, 2019

Very interesting and engaging material in this course. Feel a little bit difficulty while understanding topics from Sir David Dye's videos but the way of teaching by Sir Samuel J. Cooper is really excellent.

교육 기관: Oj S

•Jan 03, 2020

All teachers are exceptional, and the examples covered really made sense and are likely to remain fitted in the student's minds so that they would never forget the fundamentals described in this course.

교육 기관: Samresh

•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.

교육 기관: Lorenzo

•Oct 23, 2019

Very clear and concise course material. The inputs given during the videos and the subsequent practice quiz almost force the student to carry out extra/research studies which is ideal when learning.

교육 기관: Ashish D S

•Apr 15, 2018

Excellent course!

I studied multivariate calculus during engineering. I hardly understood the concepts at that time, this course helped me understand and visualize what is going behind formulas.

교육 기관: pymo2504@gmail.com

•May 27, 2019

El curso explica de forma sencilla, los conceptos de calculo necesarios para la comprensión del aprendizaje de máquina. Realmente muy útil. Además, incluye ejercicios prácticos en python

교육 기관: Irene L

•Nov 25, 2019

very good course about the math for machine learning, they teach every detail and I was able to complete the quiz and assignment just after class and don't have to seek help on Google.

교육 기관: Marvin P

•Apr 06, 2018

Just like the linear algebra one this course is absolutely awesome. The instructors provide structured insights, the assignments are well prepared. I'm amazed how much fun math can be!

교육 기관: Timo K

•Apr 03, 2018

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!

교육 기관: Laszlo C

•Nov 21, 2019

It's a very intuitive re-introduction to multivariate calculus with edifying programming assignments and quizzes. I highly recommend this course for anyone who wants to tap into ML.

교육 기관: Mark C

•Jul 31, 2018

As good as the first class in the Math for ML series. Instruction was interesting. Questions were not too confusing. Clearly a lot of time was spent producing this class. Thank you.

교육 기관: Arihant J

•Jul 19, 2018

Nice course. Ppl with who don't have some experience with the content may find the instruction too sparse. But for someone with a decent background its a fucking fantastic course !