Apress Media LLC, 2022. — 128 p. — ISBN-13 (electronic): 978-1-4842-7762-1.
Apply supervised and unsupervised learning to solve practical and real-world big data problems. This book teaches you how to engineer features, optimize hyperparameters, train and test models, develop pipelines, and automate the machine learning (ML) process.