An introductory textbook offering a low barrier entry to data science; the hands-on approach will appeal to students from a range of disciplines.
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Chirag Shah is an Associate Professor of Information and Computer Science at Rutgers University, New Jersey. He investigates issues of search and recommendations using data mining and machine learning. Dr Shah received his M.S. in Computer Science from the University of Massachusetts, Amherst, and his Ph.D. in Information Science from the University of North Carolina, Chapel Hill. He directs the InfoSeeking Lab, supported by awards from the National Science Foundation, the National Institute of Health, the Institute of Museum and Library Services, as well as Amazon, Google, and Yahoo. He was a Visiting Research Scientist at Spotify and has served as a consultant to the United Nations Data Analytics on various data science projects. He is currently working on large-scale e-commerce data and machine learning problems as Amazon Scholar.
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Anbieter: ThriftBooks-Atlanta, AUSTELL, GA, USA
Hardcover. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less. Artikel-Nr. G1108472443I3N00
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Zustand: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind. Artikel-Nr. wbs9829553732
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Anbieter: Romtrade Corp., STERLING HEIGHTS, MI, USA
Zustand: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide. Artikel-Nr. ABNR-321579
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Hardcover. Zustand: Brand New. 433 pages. 9.75x7.75x1.00 inches. In Stock. Artikel-Nr. __1108472443
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Zustand: New. 2020. Hardcover. . . . . . Books ship from the US and Ireland. Artikel-Nr. V9781108472449
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Anbieter: moluna, Greven, Deutschland
Zustand: New. A practical introduction to data science with a low barrier entry, this textbook is well-suited to students from a range of disciplines. Assuming no prior knowledge of the subject, the hands-on exercises and real-life application of popular data science too. Artikel-Nr. 336109777
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