Numerical Python : A Practical Techniques Approach for Industry

© Robert Johansson 2015

Robert JohanssonNumerical Pythonhttps://doi.org/10.1007/978-1-4842-0553-2_15

15. Machine Learning

Robert Johansson¹ 

(1)

Chiba, Chiba, Japan

 

Keywords

Training DatasetTesting DatasetConfusion MatrixUnsupervised LearningRidge Regression

In this chapter we explore machine learning. This topic is closely related to statistical modeling, which we considered in Chapter 14, in the sense that both deal with using data to describe and predict outcomes of uncertain or unknown processes. However, while statistical modeling emphasizes the model used in the analysis, machine learning side steps the model part and focuses on algorithms that can be trained to predict the outcome of new observations. In other words, the approach taken in statistical ...