Machine learning in R, automated algorithms for business analysis : applying K-Means clustering, decision trees, random forests, and neural networks, with Michael Grogan
Type
Label
Machine learning in R, automated algorithms for business analysis : applying K-Means clustering, decision trees, random forests, and neural networks, with Michael Grogan
Language
eng
Characteristic
videorecording
Main title
Machine learning in R
Oclc number
11023436345
Responsibility statement
with Michael Grogan
Runtime
39
Sub title
automated algorithms for business analysis : applying K-Means clustering, decision trees, random forests, and neural networks
Summary
"In the world of big data, analysis by traditional statistical methods is no longer sufficient. The amount of data and the number of potential relationships that could be analyzed is simply too complex to conduct manually. In this video, you'll learn a better way: how to automate the analysis of big data by using machine learning techniques in R. You'll explore the cornerstone methods of machine learning (i.e., k-means clustering, decision trees, random forests, and neural networks); you'll incorporate these methods inside R to construct a set of machine learning algorithms; and then you'll deploy these algorithms against a real-world dataset to perform a high-value business analysis of the data. Course prerequisites include basic knowledge of linear algebra, probability, statistics, and familiarity with R."--Resource description page
Technique
live action