Although machine learning is most commonly used for prediction, it can also help make sense of the complexity in the world around us. In this webcast, we explore how R's open-source clustering packages can discover patterns in large data and inform our understanding of complex sociological phenomena such as teenage identities.
Table of contents
- Title: Understanding Complexity by Clustering Data with Machine Learning and R
- Release date: October 2014
- Publisher(s): O'Reilly Media, Inc.
- ISBN: 9781491919170
You might also like
ODSC East 2018 (Open Data Science Conference)
ODSC The Open Data Science Conference has established itself as the leading conference in the field …
Python for Data Science Complete Video Course (Video Training)
9+ Hours of Video Instruction While there are resources for Data Science and resources for Machine …
Data Science Fundamentals Part 1: Learning Basic Concepts, Data Wrangling, and Databases with Python
20 Hours of Video Instruction Data Science Fundamentals LiveLessons teaches you the foundational concepts, theory, and …
51+ hours of video instruction. Overview The professional programmer’s Deitel® video guide to Python development with …