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.
ฝึกที่คำคมนี้
แก้ไขข้อความ
หรือเพียงแค่ให้ความคิดเห็น:
