How to Think About Machine Learning Algorithms Swetha Kolalapudi 2016 Clustering Large Data Sets into Meaningful Groups Understanding the Clustering Setup vtt

How to Think About Machine Learning Algorithms Swetha Kolalapudi 2016
Clustering Large Data Sets into Meaningful Groups Understanding the Clustering Setup vtt

Name	How to Think About Machine Learning Algorithms (Swetha Kolalapudi, 2016)	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	392.5 MB
Total Files	78
Hash	0A24CB29DEB600BBD08FD0B3C23B1DD82B0E9222

/8. Clustering Large Data Sets into Meaningful Groups/1. Understanding the Clustering Setup.vtt	7.1 KB
/8. Clustering Large Data Sets into Meaningful Groups/1. Understanding the Clustering Setup.mp4	10.3 MB
/8. Clustering Large Data Sets into Meaningful Groups/4. Implementing K-Means Clustering.vtt	6.2 KB
/8. Clustering Large Data Sets into Meaningful Groups/4. Implementing K-Means Clustering.mp4	11.8 MB
/8. Clustering Large Data Sets into Meaningful Groups/3. Document Clustering with K-Means.vtt	7.6 KB
/8. Clustering Large Data Sets into Meaningful Groups/2. Contrasting Clustering and Classification.vtt	9.6 KB
/8. Clustering Large Data Sets into Meaningful Groups/3. Document Clustering with K-Means.mp4	11.7 MB
/8. Clustering Large Data Sets into Meaningful Groups/2. Contrasting Clustering and Classification.mp4	14.1 MB
/3. Classifying Data into Predefined Categories/6. Understanding Customer Behavior.vtt	6.9 KB
/3. Classifying Data into Predefined Categories/6. Understanding Customer Behavior.mp4	9.1 MB
/2. Introducing Machine Learning/3. Understanding the Machine Learning Process.vtt	6.5 KB
/3. Classifying Data into Predefined Categories/2. Detecting the Gender of a User.vtt	5.5 KB
/4. Solving Classification Problems/2. Understanding When to use Naive Bayes.vtt	2.6 KB
/5. Predicting Relationships between Variables with Regression/1. Understanding the Regression Setup.vtt	5.0 KB
/3. Classifying Data into Predefined Categories/4. Deciding a Trading Strategy.vtt	4.9 KB
Showing first 15 files of 78 total files