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...
Fish schools, bird flocks, and bee swarms. These combinations of real-time biological systems can blend knowledge, exploration, and exploitation to unify intelligence and...
In my first article on this topic (see here) I introduced some of the complex stochastic processes used by Wall Street data scientists, using a simple approach that can ...
In my first article on this topic (see here) I introduced some of the complex stochastic processes used by Wall Street data scientists, using a simple approach that can b...
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 ...
The rising popularity of Amazon Alexa and Google Home has lead people to expect when they speak to software it will understand what to do. This concept is also ascendant ...
This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, ...
Data classification is the central data-mining technique used for sorting data, understanding of data and for performing outcome predictions. In this small blog we will u...
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...
Machine Learning is guiding Artificial Intelligence capabilities. Image Classification, Recommendation Systems, and AI in Gaming, are popular uses of Machine Learning cap...