
Автор: John D. Kelleher, Brian Mac Namee, Aoife D'Arcy
Издательство: The MIT Press
Год: 2020
Страниц: 853
Язык: английский
Формат: pdf (true)
Размер: 62.7 MB
The second edition of a comprehensive introduction to machine learning approaches used in predictive data analytics, covering both theory and practice. Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications including price prediction, risk assessment, predicting customer behavior, and document classification. This introductory textbook offers a detailed and focused treatment of the most important machine learning approaches used in predictive data analytics, covering both theoretical concepts and practical applications.