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    Back to Mathematics for Machine Learning: Linear Algebra

    Learner Reviews & Feedback for Mathematics for Machine Learning: Linear Algebra by Imperial College London

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    4.7
    stars
    12,332 ratings

    About the Course

    In this course on Linear Algebra we look at what linear algebra is and how it relates to vectors and matrices. Then we look through what
    vectors and matrices are and how to work with them, including the knotty problem of eigenvalues and eigenvectors, and how to use these to
    solve problems. Finally we look at how to use these to do fun things with datasets - like how to rotate images of faces and how to extract
    eigenvectors to look at how the Pagerank algorithm works. Since we're aiming at data-driven applications, we'll be implementing some of these
    ideas in code, not just on pencil and paper. Towards the end of the course, you'll write code blocks and encounter Jupyter not...
    ...

    Top reviews

    GB

    Aug 17, 2020

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    The instruction was good throughout, but I would urge fellow students to take the time to work through the problems as suggested. Also, the eigen- stuff is quite tricky and can fool you. Be careful.

    HE

    Aug 9, 2021

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    the instrutors were too good and their explination for the concepts was to the point and it made me realize things in linear algebra I didn't know before although I studied it in school of engineering

    Filter by:

    701 - 725 of 2,441 Reviews for Mathematics for Machine Learning: Linear Algebra

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    By Aditya B

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    Apr 24, 2018

    A beautiful course to give you an insight about the geometric interpretation of ML and get an intuition of various concepts

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    By Dibyanshu S D

    •

    Aug 26, 2020

    One of the best mathematics course in Coursera. Probably the best introductory course for mathematics in Machine Learning.

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    By Md S S K

    •

    Feb 3, 2019

    It' like I am learning the vectors and the concepts of linear algebra with much more efficiency knowing where to use them.

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    By Hiep L

    •

    Jul 6, 2024

    Very friendly professors with and relatable material. Assignments are good, especially those involving coding activities.

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    By Farhan F

    •

    Mar 25, 2022

    This course is challengging and i satisfied because i can do it although i must write in my notes and calculate manually

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    By Артем С К

    •

    Feb 23, 2021

    I really liked this course, especially the labs on python. It thought me many new things, but some tests were really hard

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    By Carlos J B A

    •

    Dec 4, 2020

    An extraordinary course. In the end, you feel that you have a good basis for understanding problems that involve algebra.

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    By Henok T

    •

    Sep 12, 2020

    Really loved every moment of this course. The intuitive understanding you get from this course is priceless in many ways.

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    By Борох Д С

    •

    Feb 1, 2020

    нормальный курс, базовые вещи по линейной алгербре рассказаны, объем небольшой но то что рассказывается - весьма доступно

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    By shesh

    •

    Jun 15, 2019

    Awesomely interactive and renders decent coverage of subject.. would recommend it for every ardent learner of the subject

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    By haile b

    •

    Aug 20, 2024

    The course significantly enhanced my understanding of linear algebra and its practical applications in machine learning.

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    By Piyush A

    •

    Jun 13, 2020

    Superb course for revising the old concepts and learning new concepts, showing geometrical and arithimetic point of view

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    By Justin K

    •

    Apr 28, 2019

    Great course. Good use of animations during the lectures. The notes in the python projects help if you're new to Python.

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    By Behrooz S

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    May 30, 2023

    Everything is great in this course. highly recommend it for anyone who wants to learn Mathematics for Machine Learning.

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    By Kasia W

    •

    May 2, 2020

    A great course, really enjoyable. The concepts were explained well. Picks up in terms of difficulty level at mid point.

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    By Ramakrishnan.K

    •

    Apr 21, 2020

    Both the professors were charming! Excellently explained concepts with PageRank discussion being the icing on the cake.

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    By Hause L

    •

    Aug 31, 2019

    Excellent course that provides mathematical and geometric intuition behind the linear algebra used in machine learning!

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    By Mengchan G

    •

    Apr 28, 2019

    I like the accent of the professor! The context of the lesson is develop gradually which aids my understanding of math.

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    By Tirthankar B

    •

    Apr 20, 2019

    Excellent intro to Linear Algebra with clarity on concepts such as application of Gram Schmidt method and Eigenvectors.

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    By Кузьмин К Ю

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    Aug 30, 2018

    During this course i finally got intuition for many things in Linear Algebra that seemed to me too complicated before.

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    By jay c

    •

    Dec 29, 2022

    Great course for those who have not come across linear algebra before , helped me understand LA from a new prespective

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    By Florian C

    •

    Oct 31, 2020

    This course is really great in conveying the intuition behind the mathematical concepts underpinning machine learning!

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    By aftab a

    •

    Jun 1, 2020

    I guess the best I ever have, very informative, and the instructor explains the ideas very systematically and clearly.

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    By Dushyant S

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    Jun 23, 2019

    This course is helpful for who are beginner in machine learning field and want to learn basic concepts of mathematics.

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    By Rishi C

    •

    Feb 5, 2019

    This course is EXACTLY what I needed - a demonstration of the ideas of linear algebra and how to implement those ideas

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