Principles and Techniques for Data Scientists
Principles and Techniques for Data Scientists
A leader in the field of Machine Learning, explaining common practices and mathematical principles to help engineer features for new data and tasks, teaches beginning-to-intermediate data scientists how to work with feature engineering in a systematic and principled way.
Levertijd: ca. 4 tot 6 werkdagen
Feature engineering is a crucial step in the machine-learning pipeline, yet this topic is rarely examined on its own. With this practical book, you’ll learn techniques for extracting and transforming features—the numeric representations of raw data—into formats for machine-learning models.
