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.
Об этом курсе
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- 5 stars80,13 %
- 4 stars13,24 %
- 3 stars2,64 %
- 2 stars1,98 %
- 1 star1,98 %
Лучшие отзывы о курсе UNSUPERVISED MACHINE LEARNING
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.
Great course. Maybe there is one instance of wrong answer in one of the quizzes. Everything elese is perfect. Thanks IBM !
A high quality course with lots of practical techniques
Great course for learning about Unsupervised Learning
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