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

4.0
stars
3,098 ratings

About the Course

This intermediate-level course introduces the mathematical foundations to derive Principal Component Analysis (PCA), a fundamental dimensionality reduction technique. We'll cover some basic statistics of data sets, such as mean values and variances, we'll compute distances and angles between vectors using inner products and derive orthogonal projections of data onto lower-dimensional subspaces. Using all these tools, we'll then derive PCA as a method that minimizes the average squared reconstruction error between data points and their reconstruction. At the end of this course, you'll be familiar with important mathematical concepts and you can implement PCA all by yourself. If you’re struggling, you'll find a set of jupyter notebooks that will allow you to explore properties of the techniques and walk you through what you need to do to get on track. If you are already an expert, this course may refresh some of your knowledge. The lectures, examples and exercises require: 1. Some ability of abstract thinking 2. Good background in linear algebra (e.g., matrix and vector algebra, linear independence, basis) 3. Basic background in multivariate calculus (e.g., partial derivatives, basic optimization) 4. Basic knowledge in python programming and numpy Disclaimer: This course is substantially more abstract and requires more programming than the other two courses of the specialization. However, this type of abstract thinking, algebraic manipulation and programming is necessary if you want to understand and develop machine learning algorithms....

Top reviews

WS

Jul 6, 2021

Now i feel confident about pursuing machine learning courses in the future as I have learned most of the mathematics which will be helpful in building the base for machine learning, data science.

JS

Jul 16, 2018

This is one hell of an inspiring course that demystified the difficult concepts and math behind PCA. Excellent instructors in imparting the these knowledge with easy-to-understand illustrations.

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701 - 725 of 773 Reviews for Mathematics for Machine Learning: PCA

By Kevin O

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Mar 27, 2021

Really interesting topic but not nearly enough detail.

By Amr F M R

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Sep 22, 2020

I think course material was not explained well at all.

By Timothy M

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Apr 22, 2021

The lectures and assignments did not synergize well.

By Aravind

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Sep 23, 2019

Need to improve the content and delivery of content.

By Mohammed A A

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Jul 19, 2020

the course is too shallow with difficult code exame

By Scoodood C

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Jul 28, 2018

Video lecture not as intuitive as previous courses.

By Michael B

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Nov 21, 2019

Programming assignments not well explained

By youssef s

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Jul 27, 2020

very poor explanation of things

By Murilo F S

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Jan 24, 2021

not good teacher :Z

By Salah E

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Aug 4, 2020

again too hard

By Alan

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Aug 4, 2020

Very disappointing compared to the other courses. Recommend a complete revision of the course materials. Quizzes often had nothing to do with the preceding video. I worked through a week two quiz using the extensive notes in the discussion forum and by searching the internet. The next lecture proceeded in the same vein: the instructor failed to cover the material in video leaving me to figure out what the material was and then figure out how to find that material on the internet or in reference books. At that point, it just was not worth the time to take the course.

By 周玮晨

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Jun 8, 2018

This course is far far far behind my expectations.The other two course in the specializition is fantastic. There is no visualization in this course, Instructor is always doing his algebra, concepts are poorly explained. I can't understand a lot of concepts in this course because of my poor math background.But why do i take ths course if i have a solid background in math? Programming assignments is not difficult but hard to complete because of vaguely clarification.Plenty of time wasted to find what should i do, its' really frustrating.

By Hannah Q

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Apr 26, 2021

This is the worst course among 3 courses in this math for machine learning specialization, but this is also the most important one as it comprises the other 2 courses. the homework is not well designed, the lecture is not taught enough to finish the homework. the last coding assignment has so many errors. and TA is never available, there are just a group of people tried really hard to help each other in the discussion forum, and please read the discussion forum every one is confused and suffering from your this bad course.

By Adarsh R K S

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Feb 21, 2021

The first two courses in the entire specialization were good. The PCA course was then suddenly so complicated and assumed significant matrix knowledge which was not taught in the previous courses. also, the course kept introducing concepts into the material without any explanation of where this came from and the why behind it. the lecturer needs to understand that most people taking this course are not mathematicians by profession and so we would have learnt better if the PCA was kept at a basic level.

By Srudeep K

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Apr 6, 2021

Alot of the material are to be referred, read and understood from sources outside of the course which is frustrating. There is lack of continuation from first two courses (Linear algebra & Multivariate calculus). At times, lecturer explains concepts without giving any background. Tests front run the course, meaning some questions you get in tests are taught in the video just after the test. I find better resources elsewhere online to understand PCA much better than wasting few days on this course.

By Paul K

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Feb 2, 2023

very unclear. previous courses where very good but this one is just bad.

absolutely no explanation on the notation, confusing examples where the same vectors end up having a different length between them and no explanation why. this lecturer is probably good in his field but cant teach.

finished it to get the total certificate but cant say a understood any of it. a real shame since the first 2 courses of mathematics for machine learning are super but this PCA Course is just an useless

By Hossameldein E

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Apr 9, 2021

The other Two courses are great, really great. But this one is a disaster.

Most of the the first 3 weeks i google the theory again to understand the problems in the quizzes.

The 4th week feels like something from a different course.

This videos are dull . a lot of time just reading the equations without trying to know what is it about in the real life.

please reconsider re-constructing this course. it's really sad that after the two great courses it ends up with this.

By Rameses

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Aug 18, 2020

This has to be one of most nightmarish, ugly, courses I have taken on the Coursera platform. Lousy, boring instructor, assignments that are so full of bugs that even the staff cannot resolve the issues. Add to that very low participation from the mentors and teaching staff in responding to student concerns and questions.

Hey Marc, teaching staff and Imperial College. Get your act together!!

IOW This course sucks big time! Take it at your own risk

By Deleted A

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Apr 19, 2024

I rarely leave comments about courses, though this one has so many problems so it is necessary to let other learners know. The course is broken beyond repair: coding submissions via web interface do not work, answers validations in some of the quizzes are broken, material is not taught well. At some point, I started to think that the lecturer does not understand the material themself as they are not able to explain it clearly.

By Jose V

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Dec 5, 2022

First assignment of first week not well explained at all and was extremely difficult to pass if you are not already an expert python programmer. Too much confusion from students in the forums and 0 response/support from instructors. Being the 3rd course of the specialization, I had to give up. Do not enrol in the specialization at all if you do not have access to professional python programmers.

By Chen F

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Oct 27, 2021

very few clue for the assignment. same formulars not taught in the class, not founded from materials. actually it's wasting time to pay for the material ignorance.

frustrating....

find a formular for two hours...

I should try another course.....

By Kristina S

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Aug 24, 2018

One of the worst online courses I have had. Inconsistent teaching, relaying on students having previous knowledge about Python and rads (where the heck did that come from?), failing to convey what and where this is practically used for.

By Oliver K

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Feb 21, 2020

PCA was my main interest in this specialization, and it felt very rushed and lazy (i.e. important explanations are fully missing, or just done via pdf from a book). I used *a lot* of Khan Academy to understand what's going on.

By kumar s

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Aug 11, 2020

I would give ONE STAR because the instructor of this course was worst. He don't know the teaching and concepts too. He seems to be so low energetic instructor I have ever seen. A very bad experience after taking this course.