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Problem Management: An Implementation Guide for the Real World

By Michael G. Hall

Problem management is the one IT service management process that tends to return more benefits more quickly than any of the others. Based on the author's extensive experience and backed up by suggestions and ideas from other practitioners, this book offers practical, real-world guidance on all aspects of implementing and running an effective problem management function, from proposition and justification of the function to different ways of organising it.

Published: Wednesday, November 26, 2014

Published by: BCS, the Chartered Institute for IT

Available in: Paperback (9781780172415)

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Regulated Grammars and Automata

By Alexander Meduna

This is the first book to offer key theoretical topics and terminology concerning regulated grammars and automata. They are the most important language-defining devices that work under controls represented by additional mathematical mechanisms.

Published: Saturday, September 3, 2016

Published by: Springer

Available in: Paperback (9781493943166)

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Simulation Approaches in Transportation Analysis: Recent Advances and Challenges

By Ryuichi Kitamura

Simulation Approaches in Transportation Analysis Recent Advances and Challenges presents the latest developments in transport simulation, including dynamic network simulation and micro-simulation of people's movement in an urban area.

Published: Monday, December 6, 2010

Published by: Springer

Available in: Paperback (9781441936905)

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Stochastic Ageing and Dependence for Reliability

By Chin Diew Lai

Ageing and dependence are two important characteristics in reliability and survival analysis, and they affect significantly the decision people make with regard to maintenance, repair/replacement, price setting, warranties, medical studies, and other areas.

Published: Friday, October 29, 2010

Published by: Springer

Available in: Paperback (9781441921291)

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Twitterbots: Making Machines That Make Meaning

By Tony Veale

The world of Twitterbots, from botdom's greatest hits to bot construction to the place of the bot in the social media universe. Twitter offers a unique medium for creativity and curiosity for humans and machines.

Published: Tuesday, September 11, 2018

Published by: Mit Press

Available in: Hardcover (9780262037907)

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Big Data and Social Science: A Practical Guide to Methods and Tools

By Ian Foster

Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows how to apply data science to real-world problems in both research and the practice.

Published: Monday, August 8, 2016

Published by: CRC Press

Available in: Hardcover (9781498751407)

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Handbook of Big Data

By Peter Buhlmann

Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this handbook presents a carefully curated collection of techniques from both industry and academia.

Published: Thursday, June 20, 2019

Published by: CRC Press

Available in: Paperback (9780367330736)

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Machine Learning and Deep Learning: Essential User Guide to Learn and Understand Machine Learning and Deep Learning Effectively

By Mark Howard

Have you ever wanted to learn how to better use your data. Are you interested in the works of machine learning. If you answered yes to these questions, then this book is for you.

Published: Friday, September 14, 2018

Published by: Createspace Independent Publishing Platform

Available in: Paperback (9781727338942)

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Machine Learning for Beginners: This Book Includes 2 Manuscripts: Machine Learning for Beginners and Neural Networks

By Steven Cooper

Buy the Paperback version of this bundle, and get the Kindle eBook version included for FREE Get 2 books in 1 This is the bundle of two successful books in the market Book 1: In "Machine Learning: An Introduction for Beginners, Why Machine Learning Matters Today and How Machine Learning Networks, Algorithms, Concepts and Neural Networks Really Work" you will learn: The different types of learning algorithm that you can expect to encounter The numerous applications of machine learning The different types of machine learning and how they diffe The best practices for picking up machine learning What languages and libraries to work with The future of machine learning The various problems that you can solve with machine learning algorithms And much more.

Published: Friday, September 7, 2018

Published by: Createspace Independent Publishing Platform

Available in: Paperback (9781727128383)

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Machine Learning With Python

By Ajit Singh

Machine learning can be described as a form of statistical analysis, often even utilizing well-known and familiar techniques, that has bit of a different focus than traditional analytical practice in applied disciplines.

Published: Wednesday, May 8, 2019

Published by: Independently Published

Available in: Paperback (9781097417117)

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Problem Management: An Implementation Guide for the Real World

Regulated Grammars and Automata

Simulation Approaches in Transportation Analysis: Recent Advances and Challenges

Stochastic Ageing and Dependence for Reliability

Twitterbots: Making Machines That Make Meaning

Big Data and Social Science: A Practical Guide to Methods and Tools

Handbook of Big Data

Machine Learning and Deep Learning: Essential User Guide to Learn and Understand Machine Learning and Deep Learning Effectively

Machine Learning for Beginners: This Book Includes 2 Manuscripts: Machine Learning for Beginners and Neural Networks

Machine Learning With Python

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