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Introducing data science : big data, machine learning, and more, using Python tools / Davy Cielen, Arno D.B. Meysman, Mohamed Ali.

By: Cielen, Davy [author.]Contributor(s): Meysman, Arno [author.] | Ali, Mohamed, 1981- [author.]Material type: TextTextPublisher: Shelter Island : Manning, [2016]Copyright date: ©2016Description: xx, 300 pages : illustrations (black and white) ; 24 cmContent type: text | still image Media type: unmediated Carrier type: volumeISBN: 9781633430037 (pbk.) :Subject(s): Data mining | Business -- Data processing | Python (Computer program language) | Computers and IT | Computers and ITDDC classification: 006.3'12 Summary: Data science has become one of the hottest fields in technology. Firms worldwide are scrambling to find developers with data science skills to work on projects ranging from social media marketing to machine learning, but the prerequisite knowledge and experience for this career can seem bewildering. This book is designed to help anyone who wants to learn more about data science get started. 'Introducing Data Science' teaches readers how to accomplish the fundamental tasks that occupy data scientists. They'll use the Python language and common Python libraries as they experience firsthand the challenges of dealing with data at scale. They'll discover how Python allows them to gain insights from huge data sets that need to be stored on multiple machines, or for data moving at such speed no single machine can handle it.
Holdings
Item type Current library Home library Shelving location Class number Status Date due Barcode Item reservations
Book Book Paul Hamlyn Library Paul Hamlyn Library Floor 1 006.312 CIE (Browse shelf(Opens below)) Issued 11/11/2024 06531024
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Includes ebook access.

Includes index.

Data science has become one of the hottest fields in technology. Firms worldwide are scrambling to find developers with data science skills to work on projects ranging from social media marketing to machine learning, but the prerequisite knowledge and experience for this career can seem bewildering. This book is designed to help anyone who wants to learn more about data science get started. 'Introducing Data Science' teaches readers how to accomplish the fundamental tasks that occupy data scientists. They'll use the Python language and common Python libraries as they experience firsthand the challenges of dealing with data at scale. They'll discover how Python allows them to gain insights from huge data sets that need to be stored on multiple machines, or for data moving at such speed no single machine can handle it.

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