If you become a data scientist, sooner or later you are going to find yourself facing questions of ethics and morality surrounding the work you do with massive datasets. The very feature of broad, deep, insightful data analysis that makes …
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Big Data has meant big money for many people in the technology industry, but nowhere is bigger than the Forbe’s Billionaire list. An increasing number of tech industry titans have made it on the list largely through their investments in …
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The petrochemical industry might not be the first to come to mind when you think about massive data stores, but there’s a lot of geographic and geologic data constantly being collected by the likes of Chevron and BP, which means …
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The recent emphasis on data science that has swept over almost every industry has resulted in a lot of fascinating insights and stories being uncovered. The companies that are signing the big paychecks that data scientists are cashing in on …
posted in News & EventsIs the world of data science expanding so quickly that colleges and universities are concocting new degree programs just to keep up? If you ask the University of Oregon (UO), the answer is unequivocally “yes!” UO has recently submitted a …
As financial firms compete with Silicon Valley for a limited supply of data scientists, the $38 billion hedge fund Two Sigma came up with a novel way to attract such talent: offering $100,000 in prize money along with a chance …
Defining a good prediction problem is a critical step before starting the label-segment-feature process of big data analysis, since this process can take 6-8 months to complete. Data scientists and domain experts typically spend a couple months defining prediction problems …
With data analysis being the key to assessing scientific validity, low probability values (or p-values) continue to be the gold standard for determining the quality of research results. Should this be the case, however? Christie Aschwanden summarized this quandary in …
As most startups already know, being accepted into a business accelerator program can often mean the difference between the potential to succeed and the likelihood of failure. Business accelerators basically work like this: a group of investors pool their collective …