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Data Science
— —
John D. Kelleher (Academic Leader of the Information, Communication, and Entertainment Research Institute, Technological University Dublin) Brendan Tierney (Lecturer at the School of Computing, Dublin Institute of Technology)
Data Science by John D. Kelleher (Academic Leader of the Information, Communication, and Entertainment Research Institute, Technological University Dublin) at Abbey's Bookshop,

Data Science

John D. Kelleher (Academic Leader of the Information, Communication, and Entertainment Research Institute, Technological University Dublin) Brendan Tierney (Lecturer at the School of Computing, Dublin Institute of Technology)


9780262535434

MIT Academic


Other technologies & applied sciences;
Computing: general;
Computer science


Paperback

280 pages

$37.99
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A concise introduction to the emerging field of data science, explaining its evolution, relation to machine learning, current uses, data infrastructure issues, and ethical challenges.

The goal of data science is to improve decision making through the analysis of data. Today data science determines the ads we see online, the books and movies that are recommended to us online, which emails are filtered into our spam folders, and even how much we pay for health insurance. This volume in the MIT Press Essential Knowledge series offers a concise introduction to the emerging field of data science, explaining its evolution, current uses, data infrastructure issues, and ethical challenges.

It has never been easier for organizations to gather, store, and process data. Use of data science is driven by the rise of big data and social media, the development of high-performance computing, and the emergence of such powerful methods for data analysis and modeling as deep learning. Data science encompasses a set of principles, problem definitions, algorithms, and processes for extracting non-obvious and useful patterns from large datasets. It is closely related to the fields of data mining and machine learning, but broader in scope. This book offers a brief history of the field, introduces fundamental data concepts, and describes the stages in a data science project. It considers data infrastructure and the challenges posed by integrating data from multiple sources, introduces the basics of machine learning, and discusses how to link machine learning expertise with real-world problems. The book also reviews ethical and legal issues, developments in data regulation, and computational approaches to preserving privacy. Finally, it considers the future impact of data science and offers principles for success in data science projects.

By:   John D. Kelleher (Academic Leader of the Information Communication and Entertainment Research Institute Technological University Dublin), Brendan Tierney (Lecturer at the School of Computing, Dublin Institute of Technology)
Imprint:   MIT Academic
Country of Publication:   United States
Dimensions:   Height: 178mm,  Width: 127mm,  Spine: 14mm
ISBN:   9780262535434
ISBN 10:   0262535432
Series:   MIT Press Essential Knowledge series
Pages:   280
Publication Date:   March 2018
Recommended Age:   From 18 years
Audience:   General/trade ,  ELT Advanced
Format:   Paperback
Publisher's Status:   Unspecified

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