You will learn how to build and tune these various models with R packages that have been tested and approved due to their ability to scale well. However, our motivation in almost every case is to describe the techniques in a way that helps develop intuition for its strengths and weaknesses. For the most part, we minimize mathematical complexity when possible but also provide resources to get deeper into the details if desired.Lee mas.
Las técnicas y herramientas cubiertas en Hands-On Machine Learning with R son muy similares a los requisitos que se encuentran en los anuncios de trabajo de Científico de datos.
