Kassambara, Alboukadel <br/><br/>
Machine learning essentials 
 Machine learning essentials :  practical guide in R 
/ Alboukadel Kassambara 
 - xii, 197 páginas ;  30x22 cm. 
<br/><br/> I. Basics 1. Introduction to R  II. Regression analysis 2. Introduction 3. Linear regression 4. Interaction effects in multiple regression 5. Regression with categorical variables 6. Nonlinear regresion  III. Regression diagnostics 7. Introduction 8. Regression assumptions and diagnostics 9. Multicollinearty 
<br/><br/><label>ISBN: </label>9781986406857 
<br/><br/><label>Subjects--Topical Terms: </label><br/>R (Lenguaje de programación)--Guía<br/>Aprendizaje Automático (Inteligencia Artificial)
<br/><br/><label>Dewey Class. No.: </label>005  / K133