Industry Spotlight: Hospitals

Hospitals are a major employer of statisticians and analytics professionals, both in support of clinical research like the retinopathy study described earlier, and to improve hospital operations (outcomes, cost management, etc.). Here are a few quick facts about the hospital industry: US hospital revenue totals…

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Problem of the Week: The Value of Bedrooms

Question: You work for an internet real-estate company, building statistical models to predict home price on the basis of square footage, number of bedrooms, number of bathrooms, property type (single family home, townhouse, multiplex), and age. Surprisingly, you find the coefficient for bedrooms is negative,…

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A Deep Dive into Deep Learning

On Wednesday, March 27, the 2018 Turing Award in computing was given to Yoshua Bengio, Geoffrey Hinton and Yann LeCun for their work on deep learning. Deep learning by complex neural networks lies behind the applications that are finally bringing artificial intelligence out of the…

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Industry Spotlight: Credit Scoring

In the U.S., credit scoring is dominated by three companies - Experian, TransUnion and Equifax, employing roughly 30,000 people. An important player in the scoring methodology is FICO, previously Fair Isaac Corporation, and the scores are typically called "FICO scores." Credit scoring is the oldest…

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Book Review: Weapons of Math Destruction

Cathy O'Neil's Weapons of Math Destruction, when it was first published in 2016, sounded an early alarm about the big data algorithms and their potential for social evil. The cover is adorned with a robotic death's head and the subtitle reads "How Big Data Increases…

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Industry Spotlight: Package Delivery

Nothing better illustrates the encroachment of data science and analytics on the older "economy of tangible things" than the business of delivering packages. The use of analytics in package delivery is not new. Companies like UPS and Fedex are longtime users of operations research methods…

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Industry Spotlight: Baseball – Opening Day & Statistics in Sports

The U.S. baseball season opens Thursday, March 28, and celebrates the 48th season of analytics in baseball, beginning with the founding of the Sabermetric Society in 1971 (the same year that Satchel Paige entered the Hall of Fame). Analytics has come a long way in…

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Industry Spotlight: Customer Segmentation

Are you "young and rustic?" Or perhaps a "toolbelt traditionalist?" These are nicknames given to customer segments identified by market research firm Claritas, with its statistical clustering tool. Long before the advent of individualized product recommendations, business sought to segment customers into distinct groups on…

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Instructor Spotlight: Cliff Ragsdale

Cliff T. Ragsdale teaches several courses for the Institute in the area of operations research, based on his best selling text "Spreadsheet Modeling and Decision Analysis." One of Cliff's special talents is making his subject, which can be quite challenging technically, widely accessible. His courses…

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Examples of Bad Forecasting

In a couple of days, theWall Street Journalwill come out with its November survey of economists' forecasts. It's a particularly sensitive time, with elections in a few days and President Trump attacking the Federal Reserve for for raising interest rates. It's a good time to…

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Course Spotlight: The Text Analytics Sequence

Text analytics or text mining is the natural extension of predictive analytics, and Statistics.com's text analytics program starts Feb. 6. Text analytics is now ubiquitous and yields insight in: Marketing: Voice of the customer, social media analysis, churn analysis, market research, survey analysis Business: Competitive…

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Course Spotlight: Constrained Optimization

Say you operate a tank farm (to store and sell fuel). How much of each fuel grade should you buy? You have specified flow and storage capacities, constraints on what types of fuels can be stored in which tanks, prior contractual obligations about minimum monthly…

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Statistics.com Partners With CrowdANALYTIX to Offer New Online Course With Crowdsource Contest As Project

Crowdsourcing, using the power of the crowd to solve problems, has been used for many functions and tasks, including predictive modeling (like the 2009 Netflix Contest). Typically, problems are broadcast to an unknown group of statistical modelers on the Internet, and solutions are sought. Every…

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