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Data Science (MIT Press Essential Knowledge series) de John D. Kelleher,Brendan Tierney
Descripción - Reseña del editor 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. Biografía del autor John D. Kelleher is Academic Leader of the Information, Communication, and Entertainment Research Institute at the Technological University Dublin. He is the coauthor of Data Science (also in the MIT Press Essential Knowledge series) and Fundamentals of Machine Learning for Predictive Data Analytics (MIT Press).
Detalles del Libro
- Name: Data Science (MIT Press Essential Knowledge series)
- Autor: John D. Kelleher,Brendan Tierney
- Categoria: Libros,Ciencias, tecnología y medicina,Tecnología e ingeniería
- Tamaño del archivo: 8 MB
- Tipos de archivo: PDF Document
- Idioma: Español
- Archivos de estado: AVAILABLE
Leer en linea Data Science (MIT Press Essential Knowledge series) de John D. Kelleher,Brendan Tierney Libro PDF, ePub, Mobile
Data Science / The MIT Press ~ 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.
Data Science (MIT Press Essential Knowledge series ~ Data Science (MIT Press Essential Knowledge series) - Kindle edition by Kelleher, John D., Tierney, Brendan. Download it once and read it on your Kindle device, PC, phones or tablets. Use features like bookmarks, note taking and highlighting while reading Data Science (MIT Press Essential Knowledge series).
Libro: Data Science - 9780262535434 - Kelleher, John D ~ 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.
Download Data Science (MIT Press Essential Knowledge ~ 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.
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Data Science (The MIT Press Essential Knowledge) 1st ~ Library of Congress Cataloging-in-Publication Data Names: Kelleher, John D, 1974-author I Tierney, dan 1970-author Title: Data science/John D Kelleher and Brendan Tierney Description: Cambridge, MA: The MIT Press, [2018 Series: The MIT Press essential knowledge series Includes bibliographical references and index Identifiers: LCCN 2017043665 IsBn 9780262535434(pbk: alk. paper )eIsBN .
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