SalePaperback
How To Think About Data Science
Publisher:
Taylor & Francis India
| Author:
Diego Miranda Saavedra
| Language:
English
| Format:
Paperback
Publisher:
Taylor & Francis India
Author:
Diego Miranda Saavedra
Language:
English
Format:
Paperback
₹1,595 ₹1,355
Save: 15%
In stock
Ships within:
3-5 Days
In stock
ISBN:
SKU
9781032937298
Category Computer Engineering/IT Engineering
Category: Computer Engineering/IT Engineering
Page Extent:
300
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.
Be the first to review “How To Think About Data Science” Cancel reply
Description
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.
About Author
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 the bioinformatics 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.
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 the bioinformatics 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.
Reviews
There are no reviews yet.
Be the first to review “How To Think About Data Science” Cancel reply
[wt-related-products product_id="test001"]
Related products
RELATED PRODUCTS
Computer Methods For Engineering With Matlab Applications, 2nd Edn
Save: 15%
Digital Forensics In The Era Of Artificial Intelligence
Save: 15%
Geospatial Data Science Techniques And Applications
Save: 15%
Introduction To Programming And Problem-Solving Scala, 2nd Edition
Save: 15%
Machine Learning For Healthcare , Handling And Managing Data
Save: 15%
Secure Data Science Integrating Cyber Security And Data Science
Save: 15%
Security And Organization Within Iot And Smart Cities
Save: 15%
Sensors Cloud And Fog , The Enabling Technologies For The Internet Of Things
Save: 15%
Reviews
There are no reviews yet.