Feature Engineering for Machine Learning - Alice Zheng and Amanda Casari
Nevertheless, feature engineering is not just an ad hoc practice. There are deeper principles at work, and they are best illustrated in situ. Each chapter of this book addresses one data problem: how to represent text data or image data, how to reduce the dimensionality of autogenerated features, when and how to normalize, etc. Think of this as a collection of interconnected short stories, as opposed to a single long novel.
Tren en esta cita
Tasa de esta cita:
3.6 out of 5
based on 35 ratings.
Edición Del Texto
o simplemente dejar un comentario: