Probabilistic Forecasting: Learning Uncertainty
The majority of industry and academic numeric predictive projects deal with deterministic or point forecasts of expected values of a random variable given some conditiona...
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Swarm Optimization: Goodbye Gradients
Fish schools, bird flocks, and bee swarms. These combinations of real-time biological systems can blend knowledge, exploration, and exploitation to unify intelligence and...
Credit Risk Prediction Using Artificial Neural Network Algorithm
1 Introduction Credit risk or credit default indicates the probability of non-repayment of bank financial services that have been given to the customers. Credit risk has ...
College Hoops Conference Rankings
It’s that time of the year again — the start of March Madness, 2018. Last Sunday, the selection show announced the 68 teams, and the preliminary round games s...
AI Transforms Industrial IoT
If you’ve been studying artificial intelligence and its growth, you’ll know that the industry is well past its nascent stage now. There is significant maturity in its...
How to Get the Most Out of Your Predictive Analytics Tools [Infographic]
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Debunking Google's Death AI
Having my newsfeed cluttered with articles about Google creating an AI that beats hospitals by predicting death with 95% accuracy (or some other erroneous claim), I dug u...
Uncovering Anxious Deep Learning for Ease
Deep Learning is an algorithm which has no theoretical limitations of what it can learn; the more data you give and the more computational time you give, the better it is...
What Makes a Suitable Integration Tool
When a systems integrator selects a data integration tool, it needs to consider a number of selection criteria. A key criterion for vendor selection is systems compatibil...
Digital Twins: Machine Learning & AI
Summary: Digital Twins is a concept based in IoT but requiring the skills of machine learning and potentially AI. It’s not completely new but it is integral to Gart...