Introducing data science : Big data, machine learning, and more, using Python tools (Record no. 297575)

MARC details
000 -LEADER
fixed length control field 01861nam a22001697a 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 97893519937
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.312
Item number CIE-I
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Cielen, Davy; Meysman, Arno D. B. & Ali, Mohamed
245 ## - TITLE STATEMENT
Title Introducing data science : Big data, machine learning, and more, using Python tools
Statement of responsibility, etc. By Davy Cielen; Arno D. B. Meysman & Mohaed Ali.
250 ## - EDITION STATEMENT
Edition statement 1
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New Delhi:
Name of publisher, distributor, etc. Dreamtech press,
Date of publication, distribution, etc. c2016.
300 ## - PHYSICAL DESCRIPTION
Extent i-xix+300P.
500 ## - GENERAL NOTE
General note Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note 1. Data science in a Big Data world<br/>2. The data science process<br/>3. Machine learning<br/>4. Handling large data on a single computer<br/>5. First steps in Big Data<br/>6. Join the NoSQL movement<br/>7. The rise of graph databases<br/>8. Text mining and text analytics<br/>9. Data visualization to the end user
520 ## - SUMMARY, ETC.
Summary, etc. 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. After reading this book, you'll have the solid foundation you need to start a career in data science.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type
        Dept. of Computational Biology and Bioinformatics Dept. of Computational Biology and Bioinformatics Processing Center 20/12/2021   006.312 CIE-I DCB4097 20/12/2021 20/12/2021 Book