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學生對 IBM 提供的 Unsupervised Machine Learning 的評價和反饋

4.7
133 個評分
30 條評論

課程概述

This course introduces you to one of the main types of Machine Learning: Unsupervised Learning. You will learn how to find insights from data sets that do not have a target or labeled variable. You will learn several clustering and dimension reduction algorithms for unsupervised learning as well as how to select the algorithm that best suits your data. The hands-on section of this course focuses on using best practices for unsupervised learning. By the end of this course you should be able to: Explain the kinds of problems suitable for Unsupervised Learning approaches Explain the curse of dimensionality, and how it makes clustering difficult with many features Describe and use common clustering and dimensionality-reduction algorithms Try clustering points where appropriate, compare the performance of per-cluster models Understand metrics relevant for characterizing clusters Who should take this course? This course targets aspiring data scientists interested in acquiring hands-on experience with Unsupervised Machine Learning techniques in a business setting.   What skills should you have? To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics....

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AD

2021年4月18日

It is a beautifully crafted course that looks at various clustering algorithms. More importantly, show the pros and cons of each algorithm/technique based on different patterns.

AV

2021年7月5日

Great course. Maybe there is one instance of wrong answer in one of the quizzes. Everything elese is perfect. Thanks IBM !

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1 - Unsupervised Machine Learning 的 25 個評論(共 32 個)

創建者 Anish D

2021年4月19日

It is a beautifully crafted course that looks at various clustering algorithms. More importantly, show the pros and cons of each algorithm/technique based on different patterns.

創建者 Abdillah F

2020年11月7日

Great course and very well structured. I'm really impressed with the instructor who give thorough walkthrough to the code.

創建者 Hossam G M

2021年10月4日

This course is great from a coding and final project point of view. in this course I learned how to explore the different techniques and algorithms available to cluster unlabeled data. the notebook and videos are very great too. they walk you through the coding prospective step by step. but from the theory point of view, it is hard to well understand it well in these videos. you have to be aware of them first or study them on your own. although the quizzes aren't that much indicative about understanding. they need to be tougher and contain more questions. the last thing we should be provided the lecture sildes.

創建者 Ashish P

2021年3月13日

Very Well Structured, concepts clearly explained, lots of Labs to get a hands-on practice and in the end a summary of all the key points explained.

A couple of Labs for DBSCAN and Mean-Shift would have been great.

The concept of SVD with the matrices was not very clear from the videos. Maybe some detailed notes on how the matrices are divided into the submatrices could be really helpful.

創建者 Léa Z

2021年4月18日

As usual with IBM courses, the concepts are well explained and the split between theory and demo on python is very useful. However in this specific course there are a LOT of mistakes in graded tests, which have been spotted by users for months but are unanswered by course owners in discussion forums. It is a shame, and hopefully the last two modules of the professional certification are benefitting from a better maintenance.

創建者 Sid C

2022年4月5日

This course enabled me to further develop my standard work process in performing Machine Learning activities. It also expanded my existing skills set with the addition of Unsupervised Machine Learning methods --this actually significantly improved my model performances.

創建者 SMRUTI R D

2021年9月20日

I found the learning experience extremely good and absorbing. The approach of the program to impart theoritical background of algorithms before taking of Labs is very helpful. Also, after the course one gets a broad view of the contexts behind different approaches.

創建者 Alparslan T

2022年1月6日

Excellent course on unsupervised ML. Clustering, dimensionality reduction and even classification are very well explained and practiced with high level coding on Python. Thanks IBM.

創建者 anand v

2021年7月6日

G​reat course. Maybe there is one instance of wrong answer in one of the quizzes. Everything elese is perfect. Thanks IBM !

創建者 MAURICIO C

2021年5月22日

Sometimes so fast, but it motives to research more and more about ML.

創建者 george s

2021年9月3日

Excellent course! Just examples of clustering could be a bit better.

創建者 Marwan K

2022年2月22日

T​hank you Coursera.

T​hank you IBM.

T​hank you to all instructors.

創建者 Luis P S

2021年6月2日

E​xcellent!! Easy and good way to learn unsupervised algorithms!

創建者 My B

2021年4月23日

A high quality course with lots of practical techniques

創建者 Nikolas R W

2020年12月26日

Great course for learning about Unsupervised Learning

創建者 Krishnendu D

2022年4月11日

Awesome and wholesome explaination of the concepts

創建者 Jose M

2021年1月25日

Again, congrats to the instructor on the videos.

創建者 Saraswati P

2021年10月23日

W​ell structured course with many examples

創建者 Veronica A T S

2021年6月27日

i wouuld have liked a notebook on dbscan

創建者 Volodymyr

2021年8月5日

Well balanced course, I recommend

創建者 Wissam Z

2021年10月10日

Very Professional course

創建者 Uğur K

2020年8月23日

Very tidy explanations

創建者 Bernard F

2021年1月26日

An excellent course!

創建者 Simeon M

2021年9月14日

Exceptional!

創建者 Pierluigi A

2021年1月20日

great course