Author Archives: GilPress
Coursera: Data Science in Education
Monica Rogati in The LinkedIn Blog on Coursera, which offers free online courses: “Coursera’s approach to feedback and assessment is a very interesting application of data science. Tests are either computer-graded or peer-graded — the latter following industry tested crowdsourcing best … Continue reading
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The Data Science Interview: Mok Oh, PayPal
To Do Data Science, You Need a Team of Specialists Currently the Chief Scientist at PayPal, Mok Oh came on board when eBay acquired WHERE, where he was Chief Innovation Officer. Prior to WHERE, Mok founded EveryScape, a data visualization … Continue reading
Posted in Data Science, Data Scientists
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Top 5 Data Science Influencers: June 10, 2012
1. Harish Kotadia, Infosys, @HKotadia 2. Gregory Piatetsky, KDnuggests, @kdnuggets 3. Avkash Chauhan, Microsoft, @avkashchauhan 4. Alex Popescu, MyNoSQL, @al3xandru 5. David Smith, Revolution Analytics, @revodavid Source: Traackr
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A Very Short History of Big Data
In addition to researching A Very Short History of Data Science, I have also been looking at the history of how data became big. Here I focus on the history of attempts to quantify the growth rate in the volume … Continue reading
Posted in Big Data History, Data Growth
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Big Data Events June-September 2012
Most recent update: June 2, 2012 International Conference on Advancements in Information Technology 2012 June 2-3, Hong Kong Data Analysis Conference: Tools of the Trade June 4-5, Atlantic City, New Jersey TDWI Solution Summit: Big Data Analytics for Real-Time Business Advantage … Continue reading
Posted in Big Data Analytics
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Imagination and Data Science
Today in 1833, Ada Byron (later Countess Lovelace) met Charles Babbage when visiting his house to see a portion the Difference Engine, or what her mother, Lady Byron, called his “thinking machine.” James Gleick writes in The Information: “Babbage saw a sparkling, self-possessed young woman … Continue reading
Top 5 Data Science Influencers: June 3, 2012
1. Harish Kotadia, Infosys, @HKotadia 2. Gregory Piatetsky, KDnuggests, @kdnuggets 3. Avkash Chauhan, Microsoft, @avkashchauhan 4. Alex Popescu, MyNoSQL, @al3xandru 5. David Smith, Revolution Analytics, @revodavid Source: Traackr
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Machines vs. Models, Noise vs. Signal
An excerpt from Nassim Taleb’s forthcoming book, Antifragile, was posted yesterday on the Farnam Street blog. In “Noise and Signal,” Taleb says that “In business and economic decision-making, data causes severe side effects —data is now plentiful thanks to connectivity; … Continue reading
Posted in AI, Big Data Analytics, Machine Learning
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Facebook’s IPO and the Laws of Big Data
Without using any predictive analytics tools, I confidently predict that Facebook’s IPO will give rise to more vocal demands for people to “get a cut” of its—and other social media companies’—profits. People deserve, so the argument goes, a share of … Continue reading
Posted in Big Data Analytics, Data Science
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The Reality of Big Data: Findings from Recent Surveys
Big data tools and technologies emerged first from the companies the Web gave birth to–Google, Facebook, Yahoo, and Amazon. No wonder that the term has become associated primarily with the ability to process and analyze large sets of unstructured, web-generated … Continue reading
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