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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

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    4.7
    stars
    5,704 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 26, 2018

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    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 13, 2018

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    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:

    201 - 225 of 1,012 Reviews for Mathematics for Machine Learning: Multivariate Calculus

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    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).

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    By Marco A P

    •

    Aug 28, 2020

    Very challenging course, but if you,re not afraid of numbers this is a great way to remember or "start to learn" advance and esential mathematic concepts for machine learning

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    By Ramon M T

    •

    Sep 19, 2019

    Excellent course to understand what is behind the techniques and why not high-level functions that are used in machine learning programming. Thanks for your teaching Dave, Sam

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    By Marina P

    •

    Aug 28, 2019

    Very practical and useful! I got an idea about what neural network is and what is inside of the regression algorithm. I enjoyed the course, although it was quite challenging.

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    By Lalit D

    •

    Sep 1, 2021

    Really insightful course, the coding exercises are supposed to be intermediate level but are more beginner friendly. So that's a plus point if you are a beginner in Python.

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    By Rishabh A

    •

    Jun 9, 2019

    Loved the course. Backpropogation section needs more elaborate explanation, where are we doing dot products, where are we doing matrix multiplications, things go confusing.

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    By Frances L

    •

    May 22, 2024

    I really liked the way instructor presented and also the exercises provided. He explained everything so clearly that I was able to finish the course in less than a month.

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    By YUCHEN O

    •

    Apr 29, 2023

    Very excellent course and friendly for the beginners! If you wanna dive in the machine learning area, this course is a good resource to give you some basic math knowledge.

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    By THIRUPATHI T

    •

    May 21, 2020

    Excellent course for learners who likes self-learning. They will enjoy a deep understanding of the multivariate notions like the Hessian, Taylor series, and Regression.

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    By Marwa A E K

    •

    Nov 12, 2019

    This course is really informative and builds intuition for the topics covered, I'd like to specially thank Sam for his amazing way of teaching and his visualizations :)

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    By Alexander V

    •

    Mar 17, 2018

    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.

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    By ASIFIWE E

    •

    Mar 3, 2021

    Strongly agree that, this is best course ever at the beginning of Machine Learning journey. Thank you Dr. Sam and other lecturers. thank you so much Imperial College

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    By VARUN S

    •

    Nov 8, 2020

    It was way difficult compared to what I thought. Though I did not understand 100%, it gave me confidence to dig deeper if required. Thanks for this wonderful course.

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    By Shammunul I

    •

    Apr 12, 2020

    One of the best courses on mathematics for machine learning. I already knew Calculus but this course reinforced and clarified many of these already learned concepts.

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    By Chi W

    •

    May 17, 2018

    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.

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    By aya t

    •

    Aug 6, 2020

    I really like this series so far and felt in love with instructors and the way they teach ,and i am so excited to the third and last course of this specialization.

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    By Akshaya P K

    •

    Jan 3, 2019

    Thank you! This was an excellent course. I think it would engage learners of any level. quality of the content, delivery, exercises and assignments were impeccable.

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    By min x

    •

    Apr 10, 2020

    Great course, and i'm able to use these concepts more intuitively and confidently. The last 2 weeks were not as clear and a bit of a rush, but the rest was great!!

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    By Catherine L

    •

    Nov 21, 2020

    A great calculus introduction course that guides me into the world of machine learning, it was a great experience studying calculus with imperial college London!

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    By Fadillah M

    •

    Aug 1, 2020

    This is a great course! The materials covered in this course are explained very very simply and profoundly. However, several terms are not explained in detail.

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    By James D

    •

    May 16, 2020

    A very fast-paced course that managed to make light work of some seriously heavy maths, although it was still very challenging. Overall, it was a lot of fun!

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    By Andi S R

    •

    Mar 1, 2020

    It was a difficult topic, but it is satisfactory to understand the foundations behind the Gradient Descent algorithm. I am very satisfied with this course.

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    By Ashish P

    •

    Oct 15, 2020

    Amazing course! I wonder how instructors can teach so much in a very short span of time. Concise and succinct! Thank you so much Coursera. I am so happy.

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    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!

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