Library of American University of Madaba
Your cart is empty.
Miranda-Saavedra, Diego,
How to think about data science / Diego Miranda-Saavedra. - Boca Raton, FL : CRC Press, 2023. - xxiii, 275 p. : ill. ; 26 cm. - Chapman & Hall/CRC data science series. . - Chapman & Hall/CRC data science series. .
This book is a timely and critical introduction for those interested in what data science is (and isn't), and how it should be applied. The language is conversational and the content is accessible for readers without a quantitative or computational background; but, at the same time, it is also a practical overview of the field for the more technical readers. The overarching goal is to demystify the field and teach the reader how to develop an analytical mindset instead of following recipes. The book takes the scientist's approach of focusing on asking the right question at every step as this is the single most important factor contributing to the success of a data science project. Upon finishing this book, the reader should be asking more questions than I have answered. This book is, therefore, a practising scientist's approach to explaining data science through questions and examples.
Available electronically via the Internet.
Diego Miranda Saavedra is a data scientist and a financial investor with a technical management and business background. His formal education includes a PhD (data analysis), an MSc in business analytics, and an MS in software engineering from the University of Oxford. As part of a research career in data science, Diego has made seminal contributions and worked in renowned research institutes around the world. These include the Wellcome Trust Biocentre (Dundee, UK), the Cambridge Institute for Medical Research (Cambridge, UK) and the WPI Immunology Frontier Research Center (Osaka University, Japan) where he led thebioinformatics and genomics research laboratory. While at the University of Cambridge, Diego was also elected a fellow of Wolfson College. Diego also loves teaching data science and is currently an adjunct professor at the Faculty of Economics of the University of Groningen and at the Universitat Oberta de Catalunya.
9781032369631 1032369639 9781000885729 1000885720 9781000885675 1000885674 9781003340850 1003340857
10.1201/b23197
Statistics.
Information visualization.
Artificial intelligence.
Algorithms.
Big data.
Data mining.
Database management.
COMPUTERS / Database Management / Data Mining
005.7 / M672 001.422
How to think about data science / Diego Miranda-Saavedra. - Boca Raton, FL : CRC Press, 2023. - xxiii, 275 p. : ill. ; 26 cm. - Chapman & Hall/CRC data science series. . - Chapman & Hall/CRC data science series. .
This book is a timely and critical introduction for those interested in what data science is (and isn't), and how it should be applied. The language is conversational and the content is accessible for readers without a quantitative or computational background; but, at the same time, it is also a practical overview of the field for the more technical readers. The overarching goal is to demystify the field and teach the reader how to develop an analytical mindset instead of following recipes. The book takes the scientist's approach of focusing on asking the right question at every step as this is the single most important factor contributing to the success of a data science project. Upon finishing this book, the reader should be asking more questions than I have answered. This book is, therefore, a practising scientist's approach to explaining data science through questions and examples.
Available electronically via the Internet.
Diego Miranda Saavedra is a data scientist and a financial investor with a technical management and business background. His formal education includes a PhD (data analysis), an MSc in business analytics, and an MS in software engineering from the University of Oxford. As part of a research career in data science, Diego has made seminal contributions and worked in renowned research institutes around the world. These include the Wellcome Trust Biocentre (Dundee, UK), the Cambridge Institute for Medical Research (Cambridge, UK) and the WPI Immunology Frontier Research Center (Osaka University, Japan) where he led thebioinformatics and genomics research laboratory. While at the University of Cambridge, Diego was also elected a fellow of Wolfson College. Diego also loves teaching data science and is currently an adjunct professor at the Faculty of Economics of the University of Groningen and at the Universitat Oberta de Catalunya.
9781032369631 1032369639 9781000885729 1000885720 9781000885675 1000885674 9781003340850 1003340857
10.1201/b23197
Statistics.
Information visualization.
Artificial intelligence.
Algorithms.
Big data.
Data mining.
Database management.
COMPUTERS / Database Management / Data Mining
005.7 / M672 001.422