Название: Introduction to Statistical and Machine Learning Methods for Data ScienceАвтор: Carlos Andre Reis Pinheiro, Mike Patetta
Издательство: SAS
Год: 2021
Формат: True PDF, ePUB
Страниц: 170
Размер: 18,5 Mb, 10 Mb
Язык: English
Data science is an exciting, interdisciplinary field that extracts insights from data to solve business problems. This book introduces common data science techniques and methods and shows you how to apply them in real-world case studies. From data preparation and exploration to model assessment and deployment, this book describes every stage of the analytics life cycle, including a comprehensive overview of unsupervised and supervised machine learning techniques. The book guides you through the necessary steps to pick the best techniques and models and then implement those models to successfully address the original business need.