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Introduction to Statistical and Machine Learning Methods for Data Science
Carlos Andre Reis Pinheiro
(Author)
·
Mike Patetta
(Author)
·
SAS Institute
· Paperback
Introduction to Statistical and Machine Learning Methods for Data Science - Pinheiro, Carlos Andre Reis ; Patetta, Mike
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Origin: U.S.A.
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Wednesday, August 21.
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Synopsis "Introduction to Statistical and Machine Learning Methods for Data Science"
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.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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