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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

4.0
2,819件の評価
702件のレビュー

コースについて

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....

人気のレビュー

WS

2021年7月6日

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

2018年7月16日

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.

フィルター:

Mathematics for Machine Learning: PCA: 676 - 700 / 700 レビュー

by Yap C Y

2021年3月7日

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

by Michael K

2020年11月30日

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

by Nithin K

2018年6月5日

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

by Kamoliddin N

2020年1月28日

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

by Sairam K

2021年1月9日

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

by Daniel C

2021年8月20日

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

by TUSHAR K

2020年7月19日

Previous Two Courses were better in terms of both assignments and teaching.

by Siddharth S

2020年6月4日

Very Poor when compared to previous two courses of this specialization.

by Saeif A

2020年1月1日

This course was a disaster for me. The first two were great though.

by Jared E

2018年8月25日

Impossible to do without apparently an indepth knowledge of python.

by Soumitri C

2020年12月15日

okayish teaching but grading system is absolute rubbish in Week4

by Aditya P

2020年7月4日

Very poor teaching and overall it's the worst course I've taken

by Ahmad O

2020年8月27日

Very bad explanation. The assignments need more instructions.

by Aurel N

2020年7月5日

k-NN assignment is full of errors and no proper explanations.

by Wensheng Z

2019年11月24日

Jumpy instruction with little illustrations

by Adam C

2019年10月31日

Worst course I've ever taken, online or IRL

by Zecheng W

2019年10月19日

Poorly organized and extremely confusing

by Mingzhe D

2019年12月11日

Assignment 1 cannot be passed!

by ML-07 C k

2021年3月2日

confuse , difficuld and weird

by 朱嘉懿

2020年6月25日

The assignment worked badly.

by Syed s A

2020年7月23日

Assignment is not proper

by Анофриев А

2019年10月1日

The worst course ever

by Bohdan S

2020年2月17日

Worst course ever

by Ankit M

2020年7月12日

POOR VERY POOR

by Arjunsiva S

2020年10月4日

meh!