Вернуться к Unsupervised Machine Learning
Отзывы учащихся о курсе Unsupervised Machine Learning от партнера IBM Skills Network
Оценки: 137
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.
AV
5 июля 2021 г.
Great course. Maybe there is one instance of wrong answer in one of the quizzes. Everything elese is perfect. Thanks IBM !
Фильтр по:
26–32 из 32 отзывов о курсе Unsupervised Machine Learning
автор: Pierluigi A
•20 янв. 2021 г.
great course
автор: Cui Y
•13 янв. 2022 г.
Thank you!
автор: Fernandes M R
•10 мар. 2021 г.
very good
автор: Kaumil A
•26 февр. 2021 г.
Awesome
автор: SHUBHAM K
•3 июня 2022 г.
good
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..
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