Table Of ContentStatistics for Data Science
Leverage the power of statistics for Data Analysis,
Classification, Regression, Machine Learning, and Neural
Networks
James D. Miller
BIRMINGHAM - MUMBAI
Statistics for Data Science
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First published: November 2017
Production reference: 1151117
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ISBN 978-1-78829-067-8
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Author Copy Editor
James D. Miller Tasneem Fatehi
Reviewers Project Coordinator
James C. Mott Manthan Patel
Commissioning Editor Proofreader
Veena Pagare Safis Editing
Acquisition Editor Indexer
Tushar Gupta Aishwarya Gangawane
Content Development Editor Graphics
Snehal Kolte Tania Dutta
Technical Editor Production Coordinator
Sayli Nikalje Deepika Naik
About the Author
James D. Miller, is an IBM certified expert, creative innovator and accomplished Director,
Sr. Project Leader and Application/System Architect with +35 years of extensive
applications and system design and development experience across multiple platforms and
technologies. Experiences include introducing customers to new and sometimes disruptive
technologies and platforms, integrating with IBM Watson Analytics, Cognos BI, TM1 and
web architecture design, systems analysis, GUI design and testing, database modelling and
systems analysis, design and development of OLAP, client/server, web and mainframe
applications and systems utilizing: IBM Watson Analytics, IBM Cognos BI and TM1 (TM1
rules, TI, TM1Web and Planning Manager), Cognos Framework Manager, dynaSight-
ArcPlan, ASP, DHTML, XML, IIS, MS Visual Basic and VBA, Visual Studio, PERL,
SPLUNK, WebSuite, MS SQL Server, ORACLE, SYBASE Server, and so on.
Responsibilities have also included all aspects of Windows and SQL solution development
and design including analysis; GUI (and website) design; data modelling; table, screen/form
and script development; SQL (and remote stored procedures and triggers)
development/testing; test preparation and management and training of programming staff.
Other experience includes the development of Extract, Transform, and Load (ETL)
infrastructure such as data transfer automation between mainframe (DB2, Lawson, Great
Plains, and so on.) systems and client/server SQL server and web-based applications and
integration of enterprise applications and data sources.
Mr Miller has acted as Internet Applications Development Mgr. responsible for the design,
development, QA and delivery of multiple websites including online trading applications,
warehouse process control and scheduling systems, administrative and control
applications. Mr Miller also was responsible for the design, development and
administration of a web-based financial reporting system for a 450-million-dollar
organization, reporting directly to the CFO and his executive team.
He has also been responsible for managing and directing multiple resources in various
management roles including project and team leader, lead developer and applications
development director.
He has authored the following books published by Packt:
Mastering Predictive Analytics with R – Second Edition
Big Data Visualization
Learning IBM Watson Analytics
Implementing Splunk – Second Edition
Mastering Splunk
IBM Cognos TM1 Developer's Certification Guide
He has also authored a number of whitepapers on best practices such as Establishing a Center
of Excellence and continues to post blogs on a number of relevant topics based on personal
experiences and industry best practices.
He is a perpetual learner continuing to pursue experiences and certifications, currently
holding the following current technical certifications:
IBM Certified Developer Cognos TM1
IBM Certified Analyst Cognos TM1
IBM Certified Administrator Cognos TM1
IBM Cognos TM1 Master 385 Certification
IBM Certified Advanced Solution Expert Cognos TM1
IBM OpenPages Developer Fundamentals C2020-001-ENU
IBM Cognos 10 BI Administrator C2020-622
IBM Cognos 10 BI Author C2090-620-ENU
IBM Cognos BI Professional C2090-180-ENU
IBM Cognos 10 BI Metadata Model Developer C2090-632
IBM Certified Solution Expert - Cognos BI
Specialties: The evaluation and introduction of innovative and disruptive technologies,
cloud migration, IBM Watson Analytics, big data, data visualizations, Cognos BI and TM1
application design and development, OLAP, Visual Basic, SQL Server, forecasting and
planning; international application, and development, business intelligence, project
development, and delivery and process improvement.
To Nanette L. Miller:
"Like a river flows surely to the sea, darling so it goes, some things are meant to be."
About the Reviewer
James Mott, Ph.D, is a senior education consultant with extensive experience in teaching
statistical analysis, modeling, data mining and predictive analytics. He has over 30 years of
experience using SPSS products in his own research including IBM SPSS Statistics, IBM
SPSS Modeler, and IBM SPSS Amos. He has also been actively teaching these products to
IBM/SPSS customers for over 30 years. In addition, he is an experienced historian with
expertise in the research and teaching of 20th Century United States political history and
quantitative methods. His specialties are data mining, quantitative methods, statistical
analysis, teaching, and consulting.
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