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Tag: data analytics

HealthCare Analytics

HealthCare Analytics

Introduction: HealthCare Analytics Healthcare analytics services are part of investigation that spotlights on offering bits of knowledge into emergency clinic executives, persistent records, costs, judgments, and then some. The field covers a wide swath of the social insurance industry, offering bits of knowledge on both the full scale and smaller scale level. Healthcare analytics is the compilation and analysis of data in the healthcare engineering in order to grow insights and carry decision-making. Healthcare analytics can be applied on both…

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Predictive Collision Avoidance in Connected Car Industry

Predictive Collision Avoidance in Connected Car Industry

Predictive Collision Avoidance in Connected Cars Technology proposes drivers many features in ADAS (Advanced Driver Assistance Systems) and AD (Autonomous Driving AKA Driverless car) developments.  Among them, perhaps, predictive collision avoidance system is most cherished. With progressive sensors, big and fast data, and car-to-car connectivity, predictive analytics technology solutions will one day come to zero auto accidents. Before proceeding to read further, make sure you have read introduction and details of predictive analytics in connected car industry in this post….

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Predictive Analytics in Connected Car Industry

Predictive Analytics in Connected Car Industry

Introduction to Predictive Analytics in Connected Car Industry Imagine the flawless automobile vehicle ever, like autonomous car. It exercises itself on the street even when you are having a nap, halts itself at your favorite hotel for your favorite cuisine, and awakens you just in time for a rapid touch-up before you step out of the car. If this is the matter from a science fiction film, it is coming to real life one-step at a time. Connected car industry…

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Automotive Industry Analytics

Automotive Industry Analytics

Introduction to Automotive Industry AnalyticsNowadays, vehicles can produce and collect huge amount of raw data for automated analysis. Cars can have minimum 50 sensors, maybe more than that, specially intended to gather complete facts like speed, driving performance, emissions, distance, resource usage and fuel consumption. When merged with a classy predictive analytics resolution, data scientists and analysts can convert raw unfiltered data into meaningful information. This information can they be used in decision making processes in public and private sectors….

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Ensemble Technique: Solution to complex problems in Predictive analytics

Ensemble Technique: Solution to complex problems in Predictive analytics

What is Ensemble technique ? As discussed in previous few posts about predictive analytics challenges, Ensemble technique is a solution for most of them. Incremental learning environment, specifically demands for ensemble based algorithms for problem solving due to dynamic data generation functions. Ensemble technique is a class of meta-algorithms that merge various machine learning algorithms into single predictive model in order to reduce variance (bagging), bias (boosting), or increase predictions quality. Let us see a real world example to understand what ensemble technique exactly does….

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