Clustering, Errors, & Validation
Data Science
| Beginner
- 10 videos | 33m 17s
- Includes Assessment
- Earns a Badge
Machine learning is a particular area of data science that uses techniques to create models from data without being explicitly programmed. Examine clustering, errors, and validation in machine learning.
WHAT YOU WILL LEARN
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Describe k-means clusteringDefine cluster validationDefine principal component analysisDescribe machine learning errorsDescribe underfitting
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Describe overfittingApply k-folds cross validationDescribe fall-forward and back-propagation in neural networksDescribe svms and their useChoose the appropriate machine learning method for the given example problems
IN THIS COURSE
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4m 42s
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4m 26s
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3m 37s
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4m 4s
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3m 25s
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2m 5s
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3m 8s
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3m 29s
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2m 29s
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1m 51s
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Audiobook
Ensemble Methods for Machine Learning