Introduction to Statistical and Machine Learning Methods for Data Science

1st Edition

Carlos Andre Reis Pinheiro; Mike Patetta
eISBN-13: 9781953329622

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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.

Additional resources for this book can be found by accessing the link below.

Sold By SAS Institute
ISBNs 9781953329646, 9781953329608, 9781953329622
Publish Year 2021
Language English
Number of Pages 170
Edition 1st