Taming Our Machines

Taming Our Machines PDF Author: Ralph Edward Flanders
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 262

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Book Description

Taming Our Machines

Taming Our Machines PDF Author: Ralph Edward Flanders
Publisher:
ISBN:
Category : Economics
Languages : en
Pages : 262

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Book Description


Monster

Monster PDF Author: Paul Roehrig
Publisher: John Wiley & Sons
ISBN: 1119785928
Category : Business & Economics
Languages : en
Pages : 176

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Book Description
"In their 'deliberately short book' IT analysts, management consultants and technology practitioners Roehrig and Pring explore how big a beast technology has become, and how we can tame it to maintain our freedom and privacy while still realising its benefits. The pandemic has shown just how much we rely on technology and how addictive it has become...The authors address the important questions...[and] urge us not to slay the monster but rather to leverage its power and reorient technology as a tool for good." —Financial Times Monster explains how we can responsibly engage with technology, and avoid its darker tendencies, while accepting its necessary gifts. The authors, insiders at one of the world's largest tech consulting firms, give a unique take on: The addictive nature of tech and how to fight it The growing backlash against big tech--where it's right and what it misses Crucial steps for taming technology's role in your life and in your organization--without becoming a modern Luddite Written for managers, leaders, and employees at companies of all sizes and in all industries, Monster will help you understand and take control of technology's powerful role in your life and your organization. "You must read this book." —Michael Schrage, Research Fellow, MIT Sloan School Initiative on the Digital Economy "Pithy insights and recommendations on helping tech fulfill its potential as a force for good." —Erik Brynjolfsson, Director of the Stanford Digital Economy Lab and co-author of The Second Machine Age "Making technology serve—not subvert—the public interest requires better leaders, not more engineers and coders. Monster explains how to become one of those leaders." —Rosabeth Moss Kanter, Harvard Business School Professor and author of Think Outside the Building "A bracing new book about some of the most pressing questions of our time." —Carl Benedikt Frey, Oxford Martin Citi Fellow at Oxford University and author of The Technology Trap "Provocative and concise, Monster is an important book on rescuing ourselves from technology that now feels corrosive and overwhelming." —Daniel H. Pink, author of WHEN, DRIVE, and TO SELL IS HUMAN "Clarifies a complex web of issues and provides bold steps for a healthier economy, society, and future." —Francisco D'Souza, former CEO and Vice Chairman of Cognizant "Sheds light on how we can collectively use technology for the good of all." —Soumitra Dutta, Founding Dean, SC Johnson College of Business, Cornell University "A cornucopia of pragmatic, actionable, and bold ideas." —Gary J. Beach, Publisher Emeritus, CIO magazine and author of U.S. Technology Skills Gap

Taming the Machine

Taming the Machine PDF Author: Nell Watson
Publisher: Kogan Page Publishers
ISBN: 1398614335
Category : Computers
Languages : en
Pages : 337

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Book Description
AI promises to transform our world, supercharging productivity and driving new innovations. Taming the Machine uncovers how you can responsibly harness the power of AI with confidence. AI has the potential to become a personal assistant, a creative partner, an editor and a research tool all at once. But it also represents a threat to your livelihood, data and privacy. Taming the Machine offers the practical insights and knowledge you need to work with AI with an ethical and responsible approach. In this book, celebrated AI expert and ethicist Nell Watson offers practical insights on how you can ethically innovate with AI. It delves into the ethical issues of unbridled AI, highlighting the challenges that it will bring to society and business unless we fortify cybersecurity, safeguard our data, and understand the dangerous potential of artificial intelligence. Step into the future and supercharge your performance safely by Taming the Machine.

How to Tame Technology and Get Your Life Back: Teach Yourself

How to Tame Technology and Get Your Life Back: Teach Yourself PDF Author: Kevin Duncan
Publisher: Teach Yourself
ISBN: 144419027X
Category : Computers
Languages : en
Pages : 134

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Book Description
Technology can be a wonderful thing. It can also be a curse when it overwhelms us. If your phone, computer or other devices are beginning to rule your life, then you need help. We don't have to be ruled by our machines. It's time for us humans to fight back. 'How to Tame Technology' tells you exactly what to do, practical tips and simple things that you can do to regain control. Take the test and find out just how addicted you are - then learn how to cure yourself. 'I can't talk now, I'm on the phone' For those of us suffering from technological overload, it's time to pause and think. Author and Plain English commentator Kevin Duncan has trained and advised some of the UK's top companies, including Saatchi & Saatchi and Shell, in how to cope with all this. This thought-provoking book grapples with just how addicted we have become to technology and offers a set of ideas to help wean us off our technological drugs and lead a more fulfilling life. It looks briefly at how we got here, tests you on how serious your condition is and then offers real solutions, including rapid sequential tasking (v multitasking), communicating concisely, using the best method of communication for the job, all while retaining your sense of humour and enthusiasm. 'Every page is a prompt to imagine things differently. A handbook for these challenging times ahead.' Mark Earls, author of Herd 'He does for business what Nike does for sport.' Richard Hytner, Deputy Chairman, Saatchi & Saatchi Worldwide 'Anyone who owns a mobile should have this on their shelf.' Robert Ashton, author The Life Plan

Taming the Beast

Taming the Beast PDF Author: Jason Ohler
Publisher: Agency for Instructional Technology
ISBN:
Category : Computers
Languages : en
Pages : 160

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Book Description


Taming the Tiger

Taming the Tiger PDF Author: Witold Rybczynski
Publisher: Harmondsworth, Middlesex, England : Penguin Books ; New York, N.Y., U.S.A. : Viking Penguin
ISBN:
Category : Computers
Languages : en
Pages : 276

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Book Description
Examines how and why individuals--and entire nations--have throughout history resisted technological innovations.

Taming Text

Taming Text PDF Author: Grant Ingersoll
Publisher: Simon and Schuster
ISBN: 1638353867
Category : Computers
Languages : en
Pages : 467

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Book Description
Summary Taming Text, winner of the 2013 Jolt Awards for Productivity, is a hands-on, example-driven guide to working with unstructured text in the context of real-world applications. This book explores how to automatically organize text using approaches such as full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. The book guides you through examples illustrating each of these topics, as well as the foundations upon which they are built. About this Book There is so much text in our lives, we are practically drowningin it. Fortunately, there are innovative tools and techniquesfor managing unstructured information that can throw thesmart developer a much-needed lifeline. You'll find them in thisbook. Taming Text is a practical, example-driven guide to working withtext in real applications. This book introduces you to useful techniques like full-text search, proper name recognition,clustering, tagging, information extraction, and summarization.You'll explore real use cases as you systematically absorb thefoundations upon which they are built.Written in a clear and concise style, this book avoids jargon, explainingthe subject in terms you can understand without a backgroundin statistics or natural language processing. Examples arein Java, but the concepts can be applied in any language. Written for Java developers, the book requires no prior knowledge of GWT. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. Winner of 2013 Jolt Awards: The Best Books—one of five notable books every serious programmer should read. What's Inside When to use text-taming techniques Important open-source libraries like Solr and Mahout How to build text-processing applications About the Authors Grant Ingersoll is an engineer, speaker, and trainer, a Lucenecommitter, and a cofounder of the Mahout machine-learning project. Thomas Morton is the primary developer of OpenNLP and Maximum Entropy. Drew Farris is a technology consultant, software developer, and contributor to Mahout,Lucene, and Solr. "Takes the mystery out of verycomplex processes."—From the Foreword by Liz Liddy, Dean, iSchool, Syracuse University Table of Contents Getting started taming text Foundations of taming text Searching Fuzzy string matching Identifying people, places, and things Clustering text Classification, categorization, and tagging Building an example question answering system Untamed text: exploring the next frontier

Machine Learning Control – Taming Nonlinear Dynamics and Turbulence

Machine Learning Control – Taming Nonlinear Dynamics and Turbulence PDF Author: Thomas Duriez
Publisher: Springer
ISBN: 3319406248
Category : Technology & Engineering
Languages : en
Pages : 229

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Book Description
This is the first textbook on a generally applicable control strategy for turbulence and other complex nonlinear systems. The approach of the book employs powerful methods of machine learning for optimal nonlinear control laws. This machine learning control (MLC) is motivated and detailed in Chapters 1 and 2. In Chapter 3, methods of linear control theory are reviewed. In Chapter 4, MLC is shown to reproduce known optimal control laws for linear dynamics (LQR, LQG). In Chapter 5, MLC detects and exploits a strongly nonlinear actuation mechanism of a low-dimensional dynamical system when linear control methods are shown to fail. Experimental control demonstrations from a laminar shear-layer to turbulent boundary-layers are reviewed in Chapter 6, followed by general good practices for experiments in Chapter 7. The book concludes with an outlook on the vast future applications of MLC in Chapter 8. Matlab codes are provided for easy reproducibility of the presented results. The book includes interviews with leading researchers in turbulence control (S. Bagheri, B. Batten, M. Glauser, D. Williams) and machine learning (M. Schoenauer) for a broader perspective. All chapters have exercises and supplemental videos will be available through YouTube.

Python Machine Learning

Python Machine Learning PDF Author: Sebastian Raschka
Publisher: Packt Publishing Ltd
ISBN: 1783555149
Category : Computers
Languages : en
Pages : 455

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Book Description
Unlock deeper insights into Machine Leaning with this vital guide to cutting-edge predictive analytics About This Book Leverage Python's most powerful open-source libraries for deep learning, data wrangling, and data visualization Learn effective strategies and best practices to improve and optimize machine learning systems and algorithms Ask – and answer – tough questions of your data with robust statistical models, built for a range of datasets Who This Book Is For If you want to find out how to use Python to start answering critical questions of your data, pick up Python Machine Learning – whether you want to get started from scratch or want to extend your data science knowledge, this is an essential and unmissable resource. What You Will Learn Explore how to use different machine learning models to ask different questions of your data Learn how to build neural networks using Keras and Theano Find out how to write clean and elegant Python code that will optimize the strength of your algorithms Discover how to embed your machine learning model in a web application for increased accessibility Predict continuous target outcomes using regression analysis Uncover hidden patterns and structures in data with clustering Organize data using effective pre-processing techniques Get to grips with sentiment analysis to delve deeper into textual and social media data In Detail Machine learning and predictive analytics are transforming the way businesses and other organizations operate. Being able to understand trends and patterns in complex data is critical to success, becoming one of the key strategies for unlocking growth in a challenging contemporary marketplace. Python can help you deliver key insights into your data – its unique capabilities as a language let you build sophisticated algorithms and statistical models that can reveal new perspectives and answer key questions that are vital for success. Python Machine Learning gives you access to the world of predictive analytics and demonstrates why Python is one of the world's leading data science languages. If you want to ask better questions of data, or need to improve and extend the capabilities of your machine learning systems, this practical data science book is invaluable. Covering a wide range of powerful Python libraries, including scikit-learn, Theano, and Keras, and featuring guidance and tips on everything from sentiment analysis to neural networks, you'll soon be able to answer some of the most important questions facing you and your organization. Style and approach Python Machine Learning connects the fundamental theoretical principles behind machine learning to their practical application in a way that focuses you on asking and answering the right questions. It walks you through the key elements of Python and its powerful machine learning libraries, while demonstrating how to get to grips with a range of statistical models.

No More Hunger

No More Hunger PDF Author: William Dudley Pelley
Publisher: Trafford Publishing
ISBN: 1426951116
Category : Business & Economics
Languages : en
Pages : 239

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Book Description
No More Hunger, written by William Dudley Pelley in the throes of the Great Depression of the 1930s and revised in 1961, presents an examination of the economic and financial flaws of private capitalism. It then outlines the features of a Christian Commonwealth that would unleash the full productive capability of the nation, with full implementation of human rights for every solitary citizen. During its republication in the sixties, thousands of copies were printed. They were read by those who were protesting the economic and financial inequities of our society, and by those who opposed the nation's untenable and brutal embroilment in the Vietnam War. Mr. Pelley passed on in 1965; nearly half a century has passed since his death. The ideas he put forth, however, are more vital and timely than ever. Peace with economic justice and stability in the nation cannot be realized without an honest and an analytical focus on the flaws of private capitalism and the abuses of the unconstitutional private banking system. No More Hunger offers a guide to addressing the major obstacle to harmony today: the futile attempt to solve the serious problems of the society while at the same time retaining the very economic structural ills that are responsible for the problems in the first place.