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Link Pack: Predictive Analytics

Link Pack: Predictive Analytics

A Peek Into the Future of Big Data and Predictive Analytics from Data Science Central

“ We’ve largely built out ecommerce, and (I dearly hope) have peaked with the next social network / photo sharing / instant messaging app. Even Twitter is 10 years old. To me the case is clear that the new ‘app’ will be an AI capability which should be as invisible as possible. It will be built from components of IoT, stream processing, deep learning, cloud computing, and the rest but it will be so well integrated into our daily lives as to nearly disappear.”

Can big data save these children? from PBS Newshour

“Each year, Allegheny County child welfare dispatchers receive more than 10,000 phone calls from people who suspect child abuse. These calls typically come from teachers, neighbors, doctors and family members. Under the new plan, as soon as a call came in, the program would crunch a number of data points, weighing different indicators, to produce a risk score. Indicators in an early version of the model include parents’ age, race, criminal history and marital and welfare status.”

Predictive Analytics Is the Key to Business Growth from The Huffington Post

“You don’t have to go all-in to see benefits. With today’s out-of-the-box cloud-based business systems, you can begin to see actionable insights immediately. Just imagine what your company could do with a predictive analytics setup. There are many ERP, data and IoT services available on the market today, with new options coming soon.”

Breaking the Bottleneck: Making Big Data and Predictive Analytics Work in Healthcare from OrthoSpineNews

“Today, big data analytics programs in healthcare are looking for value creation, and this can happen only if analytics is operationalized into clinical workflows. Predictive analytics can help, but only when delivered to the right team, at the right time, and in the right way.”

Measurement and Validation: An Often Underrated Aspect within the Predictive Analytics Discipline from Predictive Analytics Times

“ In the world of CRM and database marketing, arguably one of the pioneers in using data science and predictive analytics techniques, measurement and validation approaches have existed for decades. The most common approaches have been in the validation of models for direct marketing programs. The use of decile charts,gains charts, and AUC(area under the curve) charts help to evaluate model performance by assessing the model’s ability to rank order the observed desired behavior when customers are ranked by predicted behavior.”

Link Pack: Fun with Machine Learning

Link Pack: Fun with Machine Learning

Sparkling constellations spinning around centers of extraction

Sparkling constellations spinning around centers of extraction