Introduction to Statistical and Machine Learning Methods for Data Science (eBook)

Mike Patetta, Carlos Andre Reis Pinheiro (Autoren)

eBook Download: EPUB

2021
170 Seiten
Sas Institute (Verlag)
978-1-953329-62-2 (ISBN)

Infos

Boost your understanding of data science techniques to solve real-world problems 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.No software is shown in the book, and mathematical details are kept to a minimum. This allows you to develop an understanding of the fundamentals of data science, no matter what background or experience level you have.

Produkt-Details

• Erscheint lt. Verlag: 6.8.2021
• Sprache: englisch
• Themenwelt: Sachbuch/Ratgeber ► Freizeit / Hobby ► Sammeln / Sammlerkataloge
• Themenwelt: Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
• Schlagworte: data engineering for data science, data science applications, data science methods, model operationalization, network analysis and optimization, statistical analysis, statistical methods in data science, statistical methods in data science, supervised machine learning models, unsupervised machine learning models
• ISBN-10: 1-953329-62-4 / 1953329624
• ISBN-13: 978-1-953329-62-2 / 9781953329622