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    Back to Mathematics for Machine Learning: Multivariate Calculus

    Learner Reviews & Feedback for Mathematics for Machine Learning: Multivariate Calculus by Imperial College London

    Filled StarFilled StarFilled StarFilled StarHalf Faded Star
    4.7
    stars
    5,702 ratings

    About the Course

    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...
    ...

    Top reviews

    DP

    Nov 25, 2018

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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

    Nov 12, 2018

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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.

    Filter by:

    851 - 875 of 1,012 Reviews for Mathematics for Machine Learning: Multivariate Calculus

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    By Aman A

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    Oct 12, 2019

    This was a very succinct and comprehensive course and at times I felt a bit fast paced and consequently the assignments harder to solve

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    By Vikram N

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    May 13, 2020

    Good course. Clarity of content in the last two weeks (i.e. weeks 5 and 6) can be improved. Overall a fantastic learning experience.

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    By Rachel Z

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    Mar 6, 2021

    Excellent course overall. I really enjoyed the sessions taught by Sam Cooper. He explains concepts very clearly...great teacher.

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    By Andy G

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    Nov 22, 2022

    Nice content, very clearly explained. Occasional jarring between the lectures and the quizzes, but overall highly recommended.

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    By Prashant D

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    Feb 16, 2019

    Good course. The lecturer uses a number of illustrations and has a nice easy style to explain the key ideas. Overall enjoyable

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    By Mason C

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    Sep 21, 2021

    Great overall, but some of the teaching falls short of clarity, too much hand waving, and programming exercises can be obtuse.

    Filled StarFilled StarFilled StarFilled StarStar

    By no O

    •

    Jun 30, 2020

    This is a nice course for beginners, as it relies on intuition for the explanation. Also, this has very interesting exercises.

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    By Leong H

    •

    May 13, 2020

    it is pretty good for week1 to week4, but week5 and week6 are too complicated, I think the course should explain more details.

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    By Sachitha V S

    •

    Oct 28, 2020

    course was great and interesting however some topics were need to explain more thoroughly little bit difficult to understand

    Filled StarFilled StarFilled StarFilled StarStar

    By Stanislav B

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    Apr 21, 2021

    Can be hard in some parts. But it's not instructors fault as they had to put a lot of material into relatively short course

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    By Daniel P

    •

    Aug 22, 2018

    Interestin to refresh notions you already learned. Probably a bit difficult if you're totally new to multivariate calculus

    Filled StarFilled StarFilled StarFilled StarStar

    By Elise W

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    May 23, 2023

    Pretty good course, very inspiring. The quality drops in last two weeks; need to refer Khan's videos for further clarity.

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    By Mutairu o

    •

    Dec 4, 2021

    This course is recommended for newbies willing to horn their knowledge for Artificial intelligence and Machine learning.

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    By Wendy N

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    May 12, 2020

    Sometimes I need more explanation, I needed to find another resources to clarify what I haven't understood at that time.

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    By Chika

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    Jul 9, 2019

    Feedback on assessment could be improved, and there could be more practice questions relevant to the final assessments

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    By Jose V

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    Jun 4, 2018

    I think I've improve my understanding of mathematics for ML, mainly, I've understand much better the concepts involved

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    By thedoctor

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    May 4, 2021

    More focus on concrete data centric machine learning instead of abstract function definitions would have been helpful

    Filled StarFilled StarFilled StarFilled StarStar

    By Arun

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    Mar 2, 2019

    Good course to understand the basic mathematics terms and a refresher for high school math with some technical terms.

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    By ADITYA K

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    May 12, 2020

    It is a beautifully designed course to get knowledge of how to apply various types of calculus to machine learning.

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    By Adam N

    •

    Nov 12, 2018

    Very nice and concise, definitely review normal calculus and look up materials to get the most out of this course.

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    By Mohammad A K

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    Jul 6, 2020

    good math course for learning derivatives, there could have been a better way to summarize and explain the course

    Filled StarFilled StarFilled StarFilled StarStar

    By Rachel P

    •

    May 28, 2020

    An amazing course for beginners in Machine learning and brushing up your Mathematics skills at the same time.

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    By Manan S

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    May 29, 2021

    more on optimization techniques like in-depth concepts of gradient descent would have helped, rest was great

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    By Eileen Y

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    Apr 17, 2020

    It seems that the lecture is not quite closely connected with the quiz, which may bring great confusion.

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    By Sharan S M

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    Jan 9, 2020

    Great course If you want to learn Multivariate calculus. Teaches a lot of topics and is a bit rigorous

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