Data Scientists at Work
(Sprache: Englisch)
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,"...
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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 (Andre Karpis ts enko, 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, theirdiscoveries and surprises in working with data, their thoughts on the past,
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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.
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Inhaltsverzeichnis zu „Data Scientists at Work “
Type: Politics /SportsChapter 1. Nate Silver:Blogger at FiveThirtyEight.com / ESPN
Type: Big Data
Chapter 2. Jeff Hammerbacher:Founder and the Chief Scientist of Cloudera
Type: Search
Chapter 3. Corinna Cortes:Head of Google Research
Type: Education
Chapter 4. Daphne Koller:Founder of Coursera and professor Stanford AI Lab
Type: Retail / Ecommerce
Chapter 5. Andreas Weigend:Former Chief Scientist at Amazon,now at Stanford Social Data Lab
Type: VentureCapital / Internet
Chapter 6. Hilary Mason: Former Chief DataScientist at bit.ly, now DataScientist in Residence at Accel PartnersVenture Capital Fund
Type: Angel Investor /Venture Capital
Chapter 7. Roger Ehrenberg: Founderand Managing Partner of IA Ventures
Type: Recruitment / Social
Chapter 8. Peter Skomoroch:Principal Data Scientist at LinkedIn
Type: Data Analysis
Chapter 9. Amy Heineike:Director of Mathematics at Quid
Type: Wearable Technology/ Health
Chapter 10. Monica Rogati:VP of Data at Jawbone
Type: Advertising
Chapter 11. Claudia Perlich:Chief Scientist at Dstillery/m6d andprofessor NYU Stern MBA Program
Type: Ecommerce / Fashion
Chapter 12. Anna Smith: Analytics Engineer at Rent The Runway
Type: Economics
Chapter 13. Hal Varian: Chief Economist at Google
Type: Government / News
Chapter 14. Rachel Sterne Haot: Chief Digital Officer for the City of New York
Type: News / DataVisualization
Chapter 15. Mike Bostock: Interactive Graphics Designer New York Times and author of D3.js open source library
Type: Data Visualization
Chapter 16. Edward Tufte: pioneerof data visualization; professor emeritus of statistics and computer science Yale
Autoren-Porträt von Sebastian Gutierrez
Sebastian Gutierrez is a data entrepreneur who has founded three data analytics and data visualization startups: Gin Fizz Data Visualization, LetsWombat (product sampling), and Acheevmo (athletic performance statistics). He was formerly a risk manager and emerging markets FX options trader at JP Morgan Chase, Scotia Capital, and Standard Chartered Bank. Gutierrez teaches Data Visualization and D3.js (Data Visualization JavaScript Library) at the Flatiron campus of General Assembly, an educational institution and incubator for entrepreneurs. He leads the 763-member NYC D3.js Meetup Group. He holds a BS in mathematics from MIT and an MA in Economics from the University of San Francisco.
Bibliographische Angaben
- Autor: Sebastian Gutierrez
- 2015, 1st ed., 364 Seiten, Masse: 15,2 x 22,9 cm, Kartoniert (TB), Englisch
- Verlag: Springer, Berlin
- ISBN-10: 1430265981
- ISBN-13: 9781430265986
- Erscheinungsdatum: 08.12.2014
Sprache:
Englisch
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