It is hard to underestimate the role of E-commerce in a world where most communications happen on the web and our virtual environment is full… Read More »The In-depth 2020 Guide to E-commerce Fraud Detection
With the world of intelligence finally upon us, it is now expected that all aspects of business will be revolutionized. Businesses were ready to experience… Read More »The Transition of Spend Management to Intelligent Spend Management
Traditional data analytics has been revamped; this is the age of augmented analytics. Organizations are now making assured, confident decisions without relying on specialized data… Read More »Augmented Analytics: Democratizing Insights and Empowering Business Users
Summary: High stakes models like those that allocate scarce resources to competing hospitals are headline news. New thinking contrasting model-based versus model-free learning are emerging… Read More »Model Transparency and the Complication of Model-Based vs Model-Free Learning
The world is on the constant lookout for technologies that can help us further improve how we go about not only our daily lives but… Read More »Top Ways in Which Big Data Has Fortified Geolocation Apps
In 1927, W. O. Kermack y A. G. McKendrick described the first mathematical model for infectious diseases using a set of differential equations. This model… Read More »Nonlinear regression of COVID19 infected cases.
This article was written by Jim Frost. Multicollinearity occurs when independent variables in a regression model are correlated. This correlation is a problem because independent variables… Read More »Multicollinearity in Regression Analysis: Problems, Detection, and Solutions
Bayesian Machine Learning (part-8) Mean Field Approximation Have you ever asked a question, why do we need to calculate the exact Posterior distribution ? To… Read More »Bayesian Machine Learning (Part 8)
About 4 months ago, I wrote for this blog an article entitled “List of Quantum Clouds”. In that article, I listed 17 “quantum clouds”. By now,… Read More »Proxy Quantum Clouds and the JupyterHub
KernelML – Hierarchical Density Factorization The purpose, problem statement, and potential applications came from this post on datasciencecentral.com. The goal is to approximate any multi-variate distribution using… Read More »New Algorithm For Density Estimation and Noise Reduction
