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Вернуться к Mathematics for Machine Learning: PCA

Отзывы учащихся о курсе Mathematics for Machine Learning: PCA от партнера Имперский колледж Лондона

Оценки: 2,686
Рецензии: 673

О курсе

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....

Лучшие рецензии

6 июля 2021 г.

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.

16 июля 2018 г.

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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626–650 из 669 отзывов о курсе Mathematics for Machine Learning: PCA

автор: Kristina S

24 авг. 2018 г.

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.

автор: Oliver K

21 февр. 2020 г.

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.

автор: Kumar S

11 авг. 2020 г.

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.

автор: Deleted A

31 янв. 2020 г.

I don't know if this course has been deliberately made hard to understand or I was lacking something. Lectures were pretty useless to me. Coding exercises were not clearly defined. I felt utterly frustrated at times.

автор: Ashlee H

26 нояб. 2019 г.

You'll likely catch on pretty early that this course will mostly expects you to learn the content elsewhere. You're paying for mostly just for assignments and quizzes which there are far more of than video lectures.

автор: Ed W

25 нояб. 2019 г.

The lectures gave incomplete information for the understanding of the material and the homework assignments. Wish this course was stretched to be a 10 week course so that we can all thoroughly learn the material.

автор: Christiano d S

10 авг. 2020 г.

The lessons are not clear and if one wants to learn and understand what is going on with the math/algebra, has to study with other resources, because the videos of this course just throw up info´s on screen.

автор: Kimberely C

27 дек. 2019 г.

Definitely, not for beginners. Just as bad as the last one. They need to have more examples, which walk you through the ones like they give you on the homework as well as an example of how to do Python.

автор: Gurrapu N

9 апр. 2020 г.

There is hardly any co-relation between videos and assignments, while the lectures were at high school level but the assignments were at graduate level. It is high time to revise the course contents.

автор: Marcin

19 авг. 2018 г.

By far the worst online course that I've ever done. Assignments require a lot of experience in Python, which is not communicated upfront. At the same time, staff doesn't provide any actual support.

автор: Danielius K

24 сент. 2019 г.

You will spend most of your time lost.

Quizes are not clear and ill-prepared.

You will need to spend a lot of time looking for material outside of the course to actually make progress.

автор: Si L

9 окт. 2021 г.

This is the worst course of the specilisation. Content is conveyed poorly. This reminds me of why I always hated math. Not because math is dry or boring but the way is communicated.

автор: Simon H

30 мая 2021 г.

Nowhere near the standard of the first two Courses in this specialisation.

T​he videos & practise exercises do not even come close to preparing you for the assignments.

автор: Saransh G

28 апр. 2020 г.

1. Not intuitive like first two programs

2. The assignments sometimes jumped concepts and were not cohesive

3. The in-lecture problems seemed rushed through

автор: Tai J Y

16 нояб. 2019 г.

This course is not like other two, which explain much clearly. When I do the practice quiz and coding, I resort to find other help on the Internet.

автор: Vibhutesh K S

17 мая 2019 г.

This course is really bad and extremely hard to follow. Previous two courses were executed very well, teaching quality in this is poor.

автор: Alejandro T R

2 авг. 2020 г.

Worst of the three courses. I learned much more on the internet because of the lack of examples or explanation. Just not worth it.

автор: Ananya G

28 дек. 2019 г.

I did not register in this course to have some person read out the textbooks or dictate the derivations in the lecture videos.

автор: Sherif B

3 мая 2021 г.

Very bad experience, skips steps, does not reflect on intuitions like other courses in the specializations, monotonous.

автор: Yap C Y

7 мар. 2021 г.

Explanations need to be clearer. Efforts are needed in explaining the details of every components in this course.

автор: Michael K

30 нояб. 2020 г.

Lowest rating as the third course was absolutely poor. Low quality and in some way non-existent instruction.

автор: Nithin K

5 июня 2018 г.

Too conceptual and theoretical making it difficult to understand. Examples would have helped a lot.

автор: Kamoliddin N

28 янв. 2020 г.

very very bad course! Assignments and quizzes made as shit. NO answers. Worth NOTHING!

автор: Sairam K

9 янв. 2021 г.

The course videos provide insufficient and/or misleading context for the assignments.

автор: Daniel C

20 авг. 2021 г.

​the lecture videos do not seem to provide enough guidance for the assignments