Items related to Data Science (The MIT Press Essential Knowledge series)
Data Science (The MIT Press Essential Knowledge series) - Softcover
Book 29 of 115: MIT Press Essential Knowledge
Synopsis
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.
"synopsis" may belong to another edition of this title.
About the Author
John D. Kelleher is Academic Leader of the Information, Communication, and Entertainment Research Institute at the Technological University Dublin. He has authored a number of books, including: Deep Learning, MIT Press, 2019, Data Science, MIT Press, 2018, and Fundamentals of Machine Learning for Predictive Data Analytics, MIT Press, 2015.
"About this title" may belong to another edition of this title.
Search results for Data Science (The MIT Press Essential Knowledge series)
Seller Image
Data Science (The MIT Press Essential Knowledge series)
Seller: Dream Books Co., Denver, CO, U.S.A.
Seller rating 5 out of 5 stars
Condition: acceptable. This copy has clearly been enjoyedâ"expect noticeable shelf wear and some minor creases to the cover. Binding is strong, and all pages are legible. May contain previous library markings or stamps. Seller Inventory # 4EKGU9006QJD_ns
Stock Image
Data Science
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: Very Good. 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. Seller Inventory # 00107504118
Stock Image
Data Science
Seller: World of Books (was SecondSale), Montgomery, IL, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: Good. 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. Seller Inventory # 00108557277
Stock Image
Data Science (The MIT Press Essential Knowledge series)
Published by
The MIT Press (edition Illustrated), 2018
ISBN 10: 0262535432
ISBN 13: 9780262535434
Used
Paperback
Seller: BooksRun, Philadelphia, PA, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: Very Good. Illustrated. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Seller Inventory # 0262535432-8-1
Stock Image
Data Science (The MIT Press Essential Knowledge series)
Published by
The MIT Press (edition Illustrated), 2018
ISBN 10: 0262535432
ISBN 13: 9780262535434
Used
Paperback
Seller: BooksRun, Philadelphia, PA, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: Very Good. Illustrated. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Seller Inventory # 0262535432-11-1
Stock Image
Data Science (The MIT Press Essential Knowledge series)
Seller: Bellwetherbooks, McKeesport, PA, U.S.A.
Seller rating 4 out of 5 stars
paperback. Condition: Good. Crease/bruise to cover and pages. Seller Inventory # mon0000005984
Stock Image
Data Science (The MIT Press Essential Knowledge series)
Seller: Bellwetherbooks, McKeesport, PA, U.S.A.
Seller rating 4 out of 5 stars
paperback. Condition: Very Good. Very Good Condition - May show some limited signs of wear and may have a remainder mark. Pages and dust cover are intact and not marred by notes or highlighting. Seller Inventory # mon0000005983
Stock Image
Data Science (The MIT Press Essential Knowledge series)
Seller: Evergreen Goodwill, Seattle, WA, U.S.A.
Seller rating 5 out of 5 stars
paperback. Condition: Good. Seller Inventory # mon0000227064
Stock Image
Data Science (The MIT Press Essential Knowledge series)
Seller: Evergreen Goodwill, Seattle, WA, U.S.A.
Seller rating 5 out of 5 stars
paperback. Condition: Acceptable. Pages include notes, underlining, or highlighting. Seller Inventory # mon0000384922
Stock Image
Data Science
Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Seller rating 5 out of 5 stars
Paperback. Condition: Fair. No Jacket. Readable copy. Pages may have considerable notes/highlighting. ~ ThriftBooks: Read More, Spend Less. Seller Inventory # G0262535432I5N00