How to Think about Data Science

£41.99

How to Think about Data Science

Probability and statistics Mathematical and statistical software Database design and theory Data mining Artificial intelligence

Author: Diego Miranda-Saavedra

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Collection: Chapman & Hall/CRC Data Science Series

Language: English

Published by: Chapman and Hall/CRC

Published on: 23 December 2022

Format: LCP-protected ePub

Size: 9 Mb

ISBN: 9781000885729


Introduction

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.

Goals and Approach

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.

Outcome

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.

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