Feature Engineering for Machine Learning: Principles and Techniques for Data Scientists
Feature Engineering for Machine Learning introduces the principles and techniques behind preparing data for machine learning. Designed for data scientists, this focused resource explores feature engineering as an important part of developing effective models and strengthening practical data science workflows.
About This Book
Feature engineering is a central topic in building machine learning systems.
This book focuses on the principles and techniques used to create useful features from data.
Written for data scientists, it offers a focused resource for understanding feature engineering within machine learning workflows.
Its subject makes it relevant to readers developing their data science and machine learning skills.
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