Introducing data science big data, machine learning, and more, using Python tools

By:

Cielen, Davy

Contributor(s):

Material type: Text

TextPublisher: Shelter, Island Manning [2016]Publisher: Shelter, Island ManningDescription: XX, 300 Seiten Illustrationen, DiagrammeISBN:

9781633430037

Subject(s):

DDC classification:

005.74

LOC classification:

QA76.9.D343

Other classification:

ST 530
ST 265
ST 300
ST 600

Subject: Data science in a big data world -- The data science process -- Machine learning -- Handling large data on a single computer -- First steps in big data -- Join the NoSQL movement -- The rise of graph databases -- Text mining and text analytics -- Data visualization to the end user.Subject: "Introducing Data Science explains vital data science concepts and teaches you how to accomplish the fundamental tasks that occupy data scientists. You'll explore data visualization, graph databases, the use of NoSQL, and the data science process. You'll use the Python language and common Python libraries as you experience firsthand the challenges of dealing with data at scale. Discover how Python allows you to gain insights from data sets so big that they need to be stored on multiple machines, or from data moving so quickly that no single machine can handle it. This book gives you hands-on experience with the most popular Python data science libraries, Scikit-learn and StatsModels"--Back cover.

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Item type	Current library	Collection	Call number	Status	Date due	Barcode
Books	Botho University Botswana Open Shelves	Information Technology	005.74 CIE (Browse shelf(Opens below))	Available		BU-LIB25711
Books	Botho University Botswana Open Shelves	Information Technology	005.74 CIE (Browse shelf(Opens below))	Available		BU-LIB26106

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Data science in a big data world -- The data science process -- Machine learning -- Handling large data on a single computer -- First steps in big data -- Join the NoSQL movement -- The rise of graph databases -- Text mining and text analytics -- Data visualization to the end user.

"Introducing Data Science explains vital data science concepts and teaches you how to accomplish the fundamental tasks that occupy data scientists. You'll explore data visualization, graph databases, the use of NoSQL, and the data science process. You'll use the Python language and common Python libraries as you experience firsthand the challenges of dealing with data at scale. Discover how Python allows you to gain insights from data sets so big that they need to be stored on multiple machines, or from data moving so quickly that no single machine can handle it. This book gives you hands-on experience with the most popular Python data science libraries, Scikit-learn and StatsModels"--Back cover.

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