Improve Model Reliability with Bayesian Methods for Predictive Uncertainty
Predictive modeling is an integral part of modern data science and machine learning, playing a critical role in various applications such as recommendation engines, weather forecasting, and medical. But there’s a catch: predictions are not crystal clear; they come with a cloud of uncertainty. Enter Bayesian methods—the trusty sidekicks that help us not only predict […]
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Edge Analytics for IoT: Real-Time Data Processing and Insights
Understanding Edge Analytics Edge analytics means that data is processed and analyzed at the edge of the network, closer to where it originates, rather than to centralized cloud servers This approach takes the computing power of edge devices such as sensors, gateways and micro data centers to work with real-time fragmentation. By generating data locally, […]
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