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學生對 伦敦帝国学院 提供的 Mathematics for Machine Learning: PCA 的評價和反饋

2,600 個評分
645 條評論


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....



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.


Relatively tougher than previous two courses in the specialization. I'd suggest giving more time and being patient in pursuit of completing this course and understanding the concepts involved.


176 - Mathematics for Machine Learning: PCA 的 200 個評論(共 641 個)

創建者 Nileshkumar R P


This course was tough but awesome. Lots of things i learnt from this course. Great course indeed and worth doing.

創建者 Carlos J B A


Undoubtedly one of the best courses I have taken on mathematics for Machine Learning with world-class teachers.

創建者 Kuntal T


one of the best course to learn whats happening in machine learning and how it make sense through mathematics.

創建者 Nishek S


The PCA part Was a bit tricky barely handle the concepts.

thank you imperial team for such interactive course

創建者 Krzysztof


One of the most challenging course in my life - almost impossible without python and mathematics background.

創建者 Pratama A A


Need more Effort to grasp the materials explained_-" you need to be patience,the lecturer is really on top

創建者 Nelson S S


Excellent course ... Quite challenging, a little difficult but I have learned a lot ... Thank you ...

創建者 sameen n


Amazing course and provides basic introduction for the PCA. Need for programming help in this course.

創建者 Brian H


Great course. I appreciate the rigor and clear mathematical explanations provided by Dr. Deisenroth.

創建者 Natalya T


exellent course! nice python wokring enviroment and very good explanation at each topic. thank you!

創建者 Aishik R


Excellent and to-the-point explanations, useful assignments to make the concepts etched in memory



This course helped me in getting a deeper knowledge on Principal Component Analysis. Thank You.

創建者 Wei X


concise and to the point. Might want to introduce a bit the technique of Lagrangin multiplier

創建者 Leonardo H T S


This was an amazing course, I really enjoyed it and learn a lot!

Thank you so much, greetings

創建者 Wahyu N A M


I'm struggle with assigments of week 4 about implementing PCA. But, yeaah finally i got this

創建者 Mayank


This course cleared so many concepts and enabled me to further master the subject on my own.

創建者 Ripple S


I learnt a lot from this course and now I think I am much more familiar with this algorithm.

創建者 Haofei M


extremely informative and really help me understand the basic math in Machine learning

創建者 Deepak T


Course was challenging, so does the math. It was a very excellent learning experience!

創建者 Mohammad A M


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

創建者 Alfonso J


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

創建者 MD K A


Algebra, Calculus and PCA

These are all excellent, if you have mathematics knowledge

創建者 Arijit B


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

創建者 Pascal U E


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

創建者 Greg E


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