Chevron Left
Volver a Mathematics for Machine Learning: PCA

Opiniones y comentarios de aprendices correspondientes a Mathematics for Machine Learning: PCA por parte de Imperial College London

4.0
estrellas
2,809 calificaciones
698 reseña

Acerca del Curso

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....

Principales reseñas

WS

6 de jul. de 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

16 de jul. de 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.

Filtrar por:

251 - 275 de 695 revisiones para Mathematics for Machine Learning: PCA

por Md. A A M

24 de ago. de 2020

Great Course. Everyone should take this course. Thanks.

por Harish S

24 de nov. de 2019

This was a difficult course but still very informative.

por Oleg B

6 de ene. de 2019

Excellent focus on important topics that lead up to PCA

por Kaustubh S

29 de nov. de 2020

Very tough course but got a good sense of what PCA is

por Prateek S

14 de jul. de 2020

best course and important to study with concentration

por Lahiru D

16 de sep. de 2019

Great course. Assignments are tough and challenging.

por Archana D

6 de mar. de 2020

Brilliant work, references and formulas aided a lot

por Tich M

18 de ene. de 2019

good course, rigorous proof and practical exercises

por Goh K L

8 de ago. de 2021

Decently challenging and therefore very fruitful.

por Diego S

2 de may. de 2018

Difficult! But I did it :D And I learnt a lot...

por Ida B R A M M

27 de mar. de 2022

Very HARD but fundamentals are important, yes?

por CHIOU Y C

3 de feb. de 2020

A good representation after preceding courses.

por Wang S

21 de oct. de 2019

A little bit difficult but helpful, thank you!

por eder p g

9 de ago. de 2020

excellent!!!! it's very useful and practical.

por Murugesan M

15 de ene. de 2020

Excellent! very intuitive learning approach!!

por Hritik K S

20 de jun. de 2019

Maths is just like knowing myself very well!

por K A K

22 de may. de 2020

Learnt many new things I didn't know before

por Naggita K

19 de dic. de 2018

Great course. Rich well explained material.

por Sivasankar S

3 de ago. de 2021

This course is very informative and useful

por Carlos E G G

28 de sep. de 2020

Really difficult, but worth it in the end.

por Zongrui H

11 de may. de 2021

PCA assignment in week4 is a chanllenge!

por Binu V P

8 de jun. de 2020

best course I had ever done in coursera

por Jonathon K

13 de abr. de 2020

Great course. Extremely smart lecturer.

por Xi C

31 de dic. de 2018

Great course. Cover rigorous materials.

por Akshaya P K

25 de ene. de 2019

This was a tough course. But worth it.