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Отзывы учащихся о курсе Unsupervised Machine Learning от партнера IBM

4.8
звезд
Оценки: 104
Рецензии: 23

О курсе

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....

Лучшие рецензии

AD
18 апр. 2021 г.

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.

AF
6 нояб. 2020 г.

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

Фильтр по:

1–25 из 25 отзывов о курсе Unsupervised Machine Learning

автор: Anishkumar D

19 апр. 2021 г.

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.

автор: Abdillah F

7 нояб. 2020 г.

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

автор: Ashish P

13 мар. 2021 г.

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.

автор: Léa Z

18 апр. 2021 г.

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.

автор: SMRUTI R D

20 сент. 2021 г.

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.

автор: anand v

6 июля 2021 г.

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

автор: MAURICIO C

22 мая 2021 г.

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

автор: george s

3 сент. 2021 г.

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

автор: Luis P S

2 июня 2021 г.

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

автор: My B

23 апр. 2021 г.

A high quality course with lots of practical techniques

автор: Nikolas R W

26 дек. 2020 г.

Great course for learning about Unsupervised Learning

автор: Jose M

25 янв. 2021 г.

Again, congrats to the instructor on the videos.

автор: Saraswati P

23 окт. 2021 г.

W​ell structured course with many examples

автор: Veronica A T S

27 июня 2021 г.

i wouuld have liked a notebook on dbscan

автор: Volodymyr

5 авг. 2021 г.

Well balanced course, I recommend

автор: Wissam Z

10 окт. 2021 г.

Very Professional course

автор: Uğur K

23 авг. 2020 г.

Very tidy explanations

автор: Bernard F

26 янв. 2021 г.

An excellent course!

автор: Simeon M

14 сент. 2021 г.

Exceptional!

автор: Pierluigi A

20 янв. 2021 г.

great course

автор: Fernandes M R

10 мар. 2021 г.

very good

автор: Kaumil A

26 февр. 2021 г.

Awesome

автор: Hossam G M

4 окт. 2021 г.

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.

автор: Keyur U

24 дек. 2020 г.

They have got the best instructor!

автор: Tech S

2 сент. 2021 г.

No math , only superficial concepts. Not recommending to anyone else..