Machine Learning for Knowledge Discovery with R: Methodologies for Modeling, Inference and Prediction

ISBN-13: 9781032065366 / Angielski / Twarda / 2021 / 244 str.

Kao-Tai Tsai

Opis

‘Machine Learning for Knowledge Discovery with R’ contains methodologies and examples for statistical modelling, inference, and prediction of data analysis. It includes most recent supervised and unsupervised machine learning methodologies

Spis treści

1. Statistical Data Analysis. 2. Examining Data Distribution. 3. Regression with Shrinkage. 4. Recursive Partitioning Modeling. 5. Support Vector Machines. 6. Cluster Analysis. 7. Neural Networks. 8. Causal Inference and Matching. 9. Business and Commercial Data Modeling. 10. Analysis of Response Profiles.