Category Archives: Data Science
Big Data Bytes of the Week: The End of Big Data?
The end of Big Data? Based on his discussions with CIOs, reports Derrick Harris at GigaOm, Opera Solutions’ CEO Arnab Gupta “thinks the analytics market will crest around the end of next year as CIOs face enormous data spikes.” Is … Continue reading
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Big Data Quotes of the Week: August 10, 2012
“With big data, you have only two concerns, but they are, naturally, big ones: where the data will come from and what your company will do with it. Solve these and you have big data licked… IT projects have to … Continue reading
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Big Data Observations: The Science of Asking Questions
“I am a firm believer that without speculation there is no good and original observation”—Charles Darwin “It is the theory that determines what we can observe”—Albert Einstein “I suspect, however, like as it is happening in many academic fields, the … Continue reading
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A Practical Introduction to Data Science Skills (Video)
Google’s Michael Manoochehri at DataEDGE 2013 presenting an introduction to data analysis and suggestions for how to become a data scientist (his notes for the presentation are here). [youtube=http://www.youtube.com/watch?v=rpwZ_i-9U0o&w=560&h=315]
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Data visualization: Plotting life expectancy against income for 200 countries over 200 years
[youtube https://www.youtube.com/watch?v=jbkSRLYSojo?rel=0] Hans Rosling’s famous lectures combine enormous quantities of public data with a sport’s commentator’s style to reveal the story of the world’s past, present and future development. Now he explores stats in a way he has … Continue reading
Big Data Bytes: Data Scientists Wanted
“Businesses now looking for talent with deep analytical and statistical backgrounds include big publishers, portals, ad networks, and e-commerce sites – just about any company that possesses massive amounts of data. Salaries range from $75,000 to $100,000 for someone starting … Continue reading
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Domain Expertise vs. Machine Learning: The Debate Continues
By starting to rank all the data scientists participating in its competitions, Kaggle today advanced further its argument that data science is a generic set of skills that can be applied to any problem without prior domain expertise. Talking to … Continue reading
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Top Ten Kaggle Data Scientists
1. Alexander D’yakonov An academic in the Faculty of Computational Mathematics and Cybernetics department at Moscow State University, Alexander modestly describes his favorite problem-solving technique as “luck.” Despite this, the 33-year-old Russian has earned a reputation for using methods known … Continue reading
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Data Scientists Wanted
“The United States alone faces a shortage of 140,000 to 190,000 people with analytical expertise and 1.5 million managers and analysts with the skills to understand and make decisions based on the analysis of big data.” –McKinsey
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Crowdsourcing and Big Data
The Wikipedia article on Big Data says it “requires exceptional technologies to efficiently process large quantities of data within tolerable elapsed times.” The examples given (Hadoop, MapReduce, Cloud Computing, etc.) do not include one very exceptional technology, the human brain, … Continue reading
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