Data Scientists at Work / by Sebastian Gutierrez.

Format:

Book

Author/Creator:

Gutierrez, Sebastian., Author.

Language:

English

Subjects (All):

Big data.

Computers.

Big Data.

Computing Milieux.

Local Subjects:

Big Data.

Computing Milieux.

Physical Description:

1 online resource (348 p.)

Edition:

1st ed. 2014.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2014.

Language Note:

English

System Details:

text file

Summary:

Data Scientists at Work is a collection of interviews with sixteen of the world's most influential and innovative data scientists from across the spectrum of this hot new profession. "Data scientist is the sexiest job in the 21st century," according to the Harvard Business Review. By 2018, the United States will experience a shortage of 190,000 skilled data scientists, according to a McKinsey report. Through incisive in-depth interviews, this book mines the what, how, and why of the practice of data science from the stories, ideas, shop talk, and forecasts of its preeminent practitioners across diverse industries: social network (Yann LeCun, Facebook); professional network (Daniel Tunkelang, LinkedIn); venture capital (Roger Ehrenberg, IA Ventures); enterprise cloud computing and neuroscience (Eric Jonas, formerly Salesforce.com); newspaper and media (Chris Wiggins, The New York Times); streaming television (Caitlin Smallwood, Netflix); music forecast (Victor Hu, Next Big Sound); strategic intelligence (Amy Heineike, Quid); environmental big data (André Karpištšenko, Planet OS); geospatial marketing intelligence (Jonathan Lenaghan, PlaceIQ); advertising (Claudia Perlich, Dstillery); fashion e-commerce (Anna Smith, Rent the Runway); specialty retail (Erin Shellman, Nordstrom); email marketing (John Foreman, MailChimp); predictive sales intelligence (Kira Radinsky, SalesPredict); and humanitarian nonprofit (Jake Porway, DataKind). The book features a stimulating foreword by Google's Director of Research, Peter Norvig. Each of these data scientists shares how he or she tailors the torrent-taming techniques of big data, data visualization, search, and statistics to specific jobs by dint of ingenuity, imagination, patience, and passion. Data Scientists at Work parts the curtain on the interviewees’ earliest data projects, how they became data scientists, their discoveries and surprises in working with data, their thoughts on the past, present, and future of the profession, their experiences of team collaboration within their organizations, and the insights they have gained as they get their hands dirty refining mountains of raw data into objects of commercial, scientific, and educational value for their organizations and clients.

Contents:

Foreword / Peter Norvig, Google

About the author

Acknowledgments

Introduction

Chris Wiggins, New York Times

Caitlin Smallwood, Netflix

Yann LeCun, Facebook

Erin Shellman, Nordstrom

Daniel Tunkelang, Linkedln

John Foreman, MailChimp

Roger Ehrenberg, IA Ventures

Claudia Perlich, Dstillery

Jonathan Lenaghan, PlaceIQ

Anna Smith, Rent the Runway

André Karpištšenko, Planet OS

Amy Heineike, Quid

Victor Hu, Next Big Sound

Kira Radinsky, SalesPredict

Eric Jonas, Neuroscience Research

Jake Porway, DataKind

Index.

Notes:

Includes bibliographical references and index.

Includes index.

ISBN:

9781430265993

143026599X

OCLC:

900652437