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Mathematics for Machine Learning: PCA に戻る

インペリアル・カレッジ・ロンドン(Imperial College London) による Mathematics for Machine Learning: PCA の受講者のレビューおよびフィードバック



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....




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.



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.


Mathematics for Machine Learning: PCA: 226 - 250 / 700 レビュー

by Mohammad A M


This course is also so helpful, and the lecturer is so predominant on what he taught.

by Alfonso J


Truly hardcore course if your are a noob in reduced order modelling. Very challenging

by MD K A


Algebra, Calculus and PCA

These are all excellent, if you have mathematics knowledge

by Arijit B


Excellent course and extremely difficult one to grasp at one go. Regards Arijit Bose

by Pascal U E


Very hard to follow, but you need to do it to understand machine learning very well.

by Greg E


I have thoroughly enjoyed every course of this specialization. Thank you very much.

by Faruk Y


Lectures and programming assignments were selected nicely to teach the math of PCA

by Rodrigo S


Amazing course, really challenging tho, however, material lerned is very useful.

by Sanjay B


Excellent program, helped get to understand features of Python programming fast

by Lia L


This was really difficoult, but I'm so proud for the completion of the course.

by Pritam C


It was an intense Math Class with a piece of new knowledge about PCA...Thanks

by Roshan C


the course was very much intuitive and helpful to grasp the knowledge of PCA

by Hanif A


I think there must be correction for the pca lab, the testing code is error

by Pramod H K


The highly mathematical perspective of PCA with greater conceptualization.

by Rishabh A


We need more elaborate explanation at few tricky places during the course.

by Aman M


good content but assignment quality and maintenance should be rechecked

by Seelam S


Good Course to get knowledge of Maths required for Machine Learning! ☺

by Sanchayan D


Good Introduction to understanding the principal component analysis

by Sekhar K


Excellent course! Really enjoyed it. All professors were great!!

by Benjamin C


Excellent course regarding both theoritical and practical sides.

by Shahriyar R


The hardest one but still useful, very informative neat concepts

by J G


This is a good course, you learn about the foundations of PCA.

by Opas S


Great course for improve math skilled and improve basic to ML

by Puja P N B M


PCA assigment i dont have ideas but overall course is good

by Isaac M M


A bit more difficult than previous ones but it is worth it