Introducing Data Science: Big Data, Machine Learning and more using Python Tools

By:

Cielen, Davy

By:

Material type: Text

TextPublication details: New Delhi: Dreamtech Press, 2016Description: 300ISBN:

9789351199373

Subject(s):

DDC classification:

006.312 CIE

Summary: 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 Stats Models. After reading this book, you’ll have the solid foundation you need to start a career in data science.

List(s) this item appears in: New Arrivals for the Month of March 2023 - Computer Science and Data Science | New Arrivals for the Month of August - 2023

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	Alliance College of Engineering and Design	CSE & IT	006.312 CIE (Browse shelf(Opens below))	Available		E11837
Book	Alliance School of Liberal Arts		006.312 CIE (Browse shelf(Opens below))	Available		LA02250

Total holds: 0

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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 Stats Models. After reading this book, you’ll have the solid foundation you need to start a career in data science.

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