Algorithms And Automation
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The Executive S How To Guide To Automation
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Author : George E. Danner
language : en
Publisher: Springer
Release Date : 2018-12-17
The Executive S How To Guide To Automation written by George E. Danner and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-12-17 with Business & Economics categories.
From driverless cars to pilotless planes, many functions that have previously required human labor can now be performed using artificial intelligence. For businesses, this use of AI results in reduced labor costs and, even more important, creating a competitive advantage. How does one look at any organization and begin the work of automating it in sensible ways? This book provides the blueprint for automating critical business functions of all kinds. It outlines the skills and technologies that must be brought to bear on replicating human-like thinking and judgment in the form of algorithms. Many believe that algorithm design is the exclusive purview of computer scientists and experienced programmers. This book aims to dispel that notion. An algorithm is merely a set of rules, and anyone with the ability to envision how different components of a business can interact with other components already has the ability to work in algorithms. Though many fear that the use of automation in business means human labor will no longer be needed, the author argues that organizations will re-purpose humans into different roles under the banner of automation, not simply get rid of them. He also identifies parts of business that are best targeted for automation. This book will arm business people with the tools needed to automate companies, making them perform better, move faster, operate cheaper, and provide great lasting value to investors.
Algorithms Automation And News
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Author : Neil Thurman
language : en
Publisher: Routledge
Release Date : 2021-05-18
Algorithms Automation And News written by Neil Thurman and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-18 with Language Arts & Disciplines categories.
This book examines the growing importance of algorithms and automation—including emerging forms of artificial intelligence—in the gathering, composition, and distribution of news. In it the authors connect a long line of research on journalism and computation with scholarly and professional terrain yet to be explored. Taken as a whole, these chapters share some of the noble ambitions of the pioneering publications on ‘reporting algorithms’, such as a desire to see computing help journalists in their watchdog role by holding power to account. However, they also go further, firstly by addressing the fuller range of technologies that computational journalism now consists of: from chatbots and recommender systems to artificial intelligence and atomised journalism. Secondly, they advance the literature by demonstrating the increased variety of uses for these technologies, including engaging underserved audiences, selling subscriptions, and recombining and re-using content. Thirdly, they problematise computational journalism by, for example, pointing out some of the challenges inherent in applying artificial intelligence to investigative journalism and in trying to preserve public service values. Fourthly, they offer suggestions for future research and practice, including by presenting a framework for developing democratic news recommenders and another that may help us think about computational journalism in a more integrated, structured manner. The chapters in this book were originally published as a special issue of Digital Journalism.
Algorithms Automation And News
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Author : Neil Thurman
language : en
Publisher: Routledge
Release Date : 2021-05-18
Algorithms Automation And News written by Neil Thurman and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-05-18 with Language Arts & Disciplines categories.
This book examines the growing importance of algorithms and automation—including emerging forms of artificial intelligence—in the gathering, composition, and distribution of news. In it the authors connect a long line of research on journalism and computation with scholarly and professional terrain yet to be explored. Taken as a whole, these chapters share some of the noble ambitions of the pioneering publications on ‘reporting algorithms’, such as a desire to see computing help journalists in their watchdog role by holding power to account. However, they also go further, firstly by addressing the fuller range of technologies that computational journalism now consists of: from chatbots and recommender systems to artificial intelligence and atomised journalism. Secondly, they advance the literature by demonstrating the increased variety of uses for these technologies, including engaging underserved audiences, selling subscriptions, and recombining and re-using content. Thirdly, they problematise computational journalism by, for example, pointing out some of the challenges inherent in applying artificial intelligence to investigative journalism and in trying to preserve public service values. Fourthly, they offer suggestions for future research and practice, including by presenting a framework for developing democratic news recommenders and another that may help us think about computational journalism in a more integrated, structured manner. The chapters in this book were originally published as a special issue of Digital Journalism.
Automating The News
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Author : Nicholas Diakopoulos
language : en
Publisher: Harvard University Press
Release Date : 2019-06-10
Automating The News written by Nicholas Diakopoulos and has been published by Harvard University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-06-10 with Language Arts & Disciplines categories.
From hidden connections in big data to bots spreading fake news, journalism is increasingly computer-generated. Nicholas Diakopoulos explains the present and future of a world in which algorithms have changed how the news is created, disseminated, and received, and he shows why journalists—and their values—are at little risk of being replaced.
Novel Algorithms And Techniques In Telecommunications Automation And Industrial Electronics
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Author : Tarek Sobh
language : en
Publisher: Springer Science & Business Media
Release Date : 2008-08-15
Novel Algorithms And Techniques In Telecommunications Automation And Industrial Electronics written by Tarek Sobh and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-08-15 with Technology & Engineering categories.
Novel Algorithms and Techniques in Telecommunications, Automation and Industrial Electronics includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Industrial Electronics, Technology and Automation, Telecommunications and Networking. Novel Algorithms and Techniques in Telecommunications, Automation and Industrial Electronics includes selected papers form the conference proceedings of the International Conference on Industrial Electronics, Technology and Automation (IETA 2007) and International Conference on Telecommunications and Networking (TeNe 07) which were part of the International Joint Conferences on Computer, Information and Systems Sciences and Engineering (CISSE 2007).
Handbook Of Algorithms For Physical Design Automation
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Author : Charles J. Alpert
language : en
Publisher: CRC Press
Release Date : 2008-11-12
Handbook Of Algorithms For Physical Design Automation written by Charles J. Alpert and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-12 with Computers categories.
The physical design flow of any project depends upon the size of the design, the technology, the number of designers, the clock frequency, and the time to do the design. As technology advances and design-styles change, physical design flows are constantly reinvented as traditional phases are removed and new ones are added to accommodate changes in
The Tensions Of Algorithmic Thinking
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Author : David Beer
language : en
Publisher: Policy Press
Release Date : 2022-11-30
The Tensions Of Algorithmic Thinking written by David Beer and has been published by Policy Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-11-30 with Technology & Engineering categories.
We are living in algorithmic times. From machine learning and artificial intelligence to blockchain or simpler newsfeed filtering, automated systems can transform the social world in ways that are just starting to be imagined. Redefining these emergent technologies as the new systems of knowing, pioneering scholar David Beer examines the acute tensions they create and how they are changing what is known and what is knowable. Drawing on cases ranging from the art market and the smart home, through to financial tech, AI patents and neural networks, he develops key concepts for understanding the framing, envisioning and implementation of algorithms. This book will be of interest to anyone who is concerned with the rise of algorithmic thinking and the way it permeates society.
Cybernetics And Automation Control Theory Methods In Intelligent Algorithms
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Author : Radek Silhavy
language : en
Publisher: Springer
Release Date : 2019-05-09
Cybernetics And Automation Control Theory Methods In Intelligent Algorithms written by Radek Silhavy and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-05-09 with Technology & Engineering categories.
This book discusses novel intelligent-system algorithms and methods in cybernetics, presenting new approaches in the field of cybernetics and automation control theory. It constitutes the proceedings of the Cybernetics and Automation Control Theory Methods in Intelligent Algorithms Section of the 8th Computer Science On-line Conference 2019 (CSOC 2019), held on-line in April 2019.
Hands On Automated Machine Learning
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Author : Sibanjan Das
language : en
Publisher: Packt Publishing Ltd
Release Date : 2018-04-26
Hands On Automated Machine Learning written by Sibanjan Das and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-26 with Computers categories.
Automate data and model pipelines for faster machine learning applications Key Features Build automated modules for different machine learning components Understand each component of a machine learning pipeline in depth Learn to use different open source AutoML and feature engineering platforms Book Description AutoML is designed to automate parts of Machine Learning. Readily available AutoML tools are making data science practitioners’ work easy and are received well in the advanced analytics community. Automated Machine Learning covers the necessary foundation needed to create automated machine learning modules and helps you get up to speed with them in the most practical way possible. In this book, you’ll learn how to automate different tasks in the machine learning pipeline such as data preprocessing, feature selection, model training, model optimization, and much more. In addition to this, it demonstrates how you can use the available automation libraries, such as auto-sklearn and MLBox, and create and extend your own custom AutoML components for Machine Learning. By the end of this book, you will have a clearer understanding of the different aspects of automated Machine Learning, and you’ll be able to incorporate automation tasks using practical datasets. You can leverage your learning from this book to implement Machine Learning in your projects and get a step closer to winning various machine learning competitions. What you will learn Understand the fundamentals of Automated Machine Learning systems Explore auto-sklearn and MLBox for AutoML tasks Automate your preprocessing methods along with feature transformation Enhance feature selection and generation using the Python stack Assemble individual components of ML into a complete AutoML framework Demystify hyperparameter tuning to optimize your ML models Dive into Machine Learning concepts such as neural networks and autoencoders Understand the information costs and trade-offs associated with AutoML Who this book is for If you’re a budding data scientist, data analyst, or Machine Learning enthusiast and are new to the concept of automated machine learning, this book is ideal for you. You’ll also find this book useful if you’re an ML engineer or data professional interested in developing quick machine learning pipelines for your projects. Prior exposure to Python programming will help you get the best out of this book.
Innovative Algorithms And Techniques In Automation Industrial Electronics And Telecommunications
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Author : Tarek Sobh
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-09-04
Innovative Algorithms And Techniques In Automation Industrial Electronics And Telecommunications written by Tarek Sobh and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-09-04 with Technology & Engineering categories.
This book includes a set of rigorously reviewed world-class manuscripts addressing and detailing state-of-the-art research projects in the areas of Industrial Electronics, Technology, Automation, Telecommunications and Networking. The book includes selected papers from the conference proceedings of the International Conference on Industrial Electronics, Technology, Automation (IETA 2006) and International Conference on Telecommunications and Networking (TeNe 06).