Data Science (The MIT Press Essential Knowledge)
Book Name: Data Science (The MIT Press Essential Knowledge)
Author: John D. Kelleher, Brendan Tierney
Publisher: The MIT Press
ISBN-10: 978-0262535434
Year: 2018
Pages: 280
Language: English
File size: 1.31 MB
File format: PDF
Data Science (The MIT Press Essential Knowledge) Pdf Book Description:
The objective of information science is to enhance decision making through the evaluation of information. Nowadays data science decides the advertisements we view online, the novels and videos which are suggested to individuals online, which mails are squeezed into our junk folders, as well as how much we pay for health care. This quantity in the MIT Press Critical Knowledge series provides a succinct introduction to this emerging field of information science, describing its own evolution, current applications, data infrastructure problems, and ethical struggles.
It’s never been easier for businesses to collect, save, and process information. Usage of information science is driven by the increase of large data and social networking, the maturation of high-speed computing, as well as the development of these strong techniques for data modeling and analysis as profound learning. This publication provides a succinct history of the area, introduces basic data theories, and explains the phases in a datascience undertaking. It believes information infrastructure as well as the challenges posed by incorporating data from several sources, introduces the fundamentals of machine learning, and discusses how to connect machine learning experience with real world issues. The publication also reviews legal and ethical problems, improvements in data regulation, and computational methods for maintaining privacy. In the end, it considers the potential effect of datascience and provides principles for achievement in data science endeavors.
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