Category: Books- Big Data, Data Analytics, Data Mining, Data Management, Artificial Intelligence, Machine Learning, Deep Learning

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data

Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing and Presenting Data EMC Education Services (Editor) ISBN: 978-1-118-87613-8 Read an Excerpt For Instructors Companion Sites Request Evaluation Copy Description Data Science and Big Data Analytics is...

Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods

Predictive Analytics, Data Mining and Big Data: Myths, Misconceptions and Methods. Author: Steven Finlay. Publisher: Palgrave Macmillan, 2014, ISBN 1137379294, 9781137379290 Predictive analytics, big data, and data mining are key topics for organizations who...

Implementing Analytics-A Blueprint for Design, Development, and Adoption

Implementing Analytics A Blueprint for Design, Development,and Adoption By Nauman Sheikh. Paperback, 234 Pages Published: May 2013 Imprint: Morgan Kaufmann ISBN: 978-0-12-401696-5 Implementing Analytics demystifies the concept, technology and application of analytics and breaks its...

Analysis of Categorical Data with R

Title: Analysis of Categorical Data with R Authors: Christopher R. Bilder, Thomas M. Loughin Publisher: CRC Press/Taylor & Francis Group, 978-1-4398-5567-6, © 2015, 547 pages Features Provides descriptions and motivations of the analysis methods...

Zen of Cloud: Learning Cloud Computing by Examples on Microsoft Azure

Title: Zen of Cloud: Learning Cloud Computing by Examples on Microsoft Azure Authors: Haishi Bai Publisher: CRC Press/Taylor & Francis Group, 978-1-4822-1580-9, © 2015, 507 pages Features Shares insights gained by the author while...

Bursting the Big Data Bubble: The Case for Intuition-Based Decision Making

Title: Bursting the Big Data Bubble: The Case for Intuition-Based Decision Making Authors: Jay Liebowitz Publisher: CRC Press/Taylor & Francis Group, 978-1-4822-2885-4© 2014, 351 pages Features Outlines methods to complement big data (data-driven decision...

Privacy, Big Data, and the Public Good: Frameworks for Engagement

Privacy, Big Data, and the Public Good: Frameworks for Engagement, Julia Lane, Victoria Stodden, Stefan Bender, and Helen Nissenbaum (editors),  Cambridge University Press, 2014.  ISBN 9781107637689. On May 1st, 2014, the White House released two landmark reports on Privacy...