KernelML – Hierarchical Density Factorization The purpose, problem statement, and potential applications came from this post on datasciencecentral.com. The goal i...
Kubernetes is a great system for handling clusters of containers (whether on cloud or on-premise), but deploying and managing containerized applications for ML can be a c...
Have you heard about AI learning to play computer games on their own and giving tough competitions to expert Human gamers? A very popular example being Deepmind whose Alp...
Summary: Explaining data science to a non-data scientist isn’t as easy as it sounds. You may know a lot about math, tools, techniques, data, and computer architectu...
Summary: Whether trying to predict the life outcomes of disadvantaged kids or to model where ventilators will be most needed, a little humility is in order. As this stu...
Hypothesis testing can be an overwhelming topic to grasp if you’re new to the subject. As well as dealing with all of the different terminology, you have to perform...
Today almost all modern technologies are in full swing, and one such technology is Artificial Intelligence (AI). This modern technology just looks like a science fiction ...
Summary: Analytic Platforms are rapidly being augmented with features previously reserved for data scientists. They are presented as easy to use but require substanti...
Background Is an Artificial Intelligence (AI) strategy feasible for SMEs? (Small to Medium Enterprises)? In this post, we present a pragmatic approach for SMEs to conside...