Learning to love data science : explorations of emerging technologies and platforms for predictive analytics, machine learning, digital manufacturing, and supply chain optimization / Mike Barlow.

Format:

Book

Author/Creator:

Barlow, Mike, author.

Language:

English

Subjects (All):

Science--Data processing.

Science.

Physical Description:

1 online resource (159 p.)

Edition:

First edition.

Other Title:

Sub-title on cover: Exploring predictive analytics, machine learning, digital manufacturing, and supply chain optimization

Place of Publication:

Sebastopol, CA : O'Reilly, 2015.

System Details:

text file

Summary:

Until recently, many people thought big data was a passing fad. "Data science" was an enigmatic term. Today, big data is taken seriously, and data science is considered downright sexy. With this anthology of reports from award-winning journalist Mike Barlow, you’ll appreciate how data science is fundamentally altering our world, for better and for worse. Barlow paints a picture of the emerging data space in broad strokes. From new techniques and tools to the use of data for social good, you’ll find out how far data science reaches. With this anthology, you’ll learn how: Analysts can now get results from their data queries in near real time Indie manufacturers are blurring the lines between hardware and software Companies try to balance their desire for rapid innovation with the need to tighten data security Advanced analytics and low-cost sensors are transforming equipment maintenance from a cost center to a profit center CIOs have gradually evolved from order takers to business innovators New analytics tools let businesses go beyond data analysis and straight to decision-making Mike Barlow is an award-winning journalist, author, and communications strategy consultant. Since launching his own firm, Cumulus Partners, he has represented major organizations in a number of industries.

Contents:

Copyright; Table of Contents; Foreword; Editor's Note; Preface; Safari® Books Online; How to Contact Us; Acknowledgments; Chapter 1. The Culture of Big Data Analytics; It's Not Just About Numbers; Playing by the Rules; No Bucks, No Buck Rogers; Operationalizing Predictability; Assembling the Team; Fitting In; Chapter 2. Data and Social Good; Hearts of Gold; Structuring Opportunities for Philanthropy; Telling the Story with Analytics; Data as a Pillar of Modern Democracy; No Strings Attached, but Plenty of Data; Collaboration Is Fundamental; Conclusion

How Real Is Real Time?The RTBDA Stack; The Five Phases of Real Time; How Big Is Big?; Part of a Larger Trend; Chapter 6. Big Data and the Evolving Role of the CIO; A Radical Shift in Focus and Perspective; Getting from Here to There; Behind and Beyond the Application; Investing in Big Data Infrastructure; Does the CIO Still Matter?; From Capex to Opex; A More Nimble Mindset; Looking to the Future; Now Is the Time to Prepare; Chapter 7. Building Functional Teams for the IoT Economy; A More Fluid Approach to Team Building; Raising the Bar on Collaboration; Worlds Within Worlds

Chapter 10. The Last Mile of Analytics: Making the Leap from Platforms to ToolsInching Closer to the Front Lines; The Future Is So Yesterday; Above and Beyond BI; Moving into the Mainstream; Transcending Data; About the Author

Notes:

Includes index.

Description based on online resource; title from PDF title page (ebrary, viewed January 20, 2016).

ISBN:

9781491936542

1491936541

9781491936573

1491936576

9781491936566

1491936568

OCLC:

929474067