Image from Google Jackets

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

By: Contributor(s): Material type: TextTextPublication details: New Delhi Wiley 2018ISBN:
  • 9789351199373
  • 9781633430037
Subject(s): DDC classification:
  • 006.312 CIE-I 23
Contents:
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.
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 StatsModels"--Back cover.
Tags from this library: No tags from this library for this title. Log in to add tags.
Holdings
Item type Current library Call number Status Date due Barcode Item holds
Reference Reference CENTRAL LIBRARY Reference 006.312 CIE-I Not for loan 17925
Books Books CENTRAL LIBRARY General Stacks 006.312 CIE-I Available 17926
Total holds: 0

Includes index.

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.

Powered by Koha ILS
Page Design & Customization: Library Web Team CE Thalassery