The Transition of Spend Management to Intelligent Spend Management
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 innovation in ...
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Augmented Analytics: Democratizing Insights and Empowering Business Users
Traditional data analytics has been revamped; this is the age of augmented analytics. Organizations are now making assured, confident decisions without relying on special...
Model Transparency and the Complication of Model-Based vs Model-Free Learning
Summary: High stakes models like those that allocate scarce resources to competing hospitals are headline news. New thinking contrasting model-based versus model-free...
Top Ways in Which Big Data Has Fortified Geolocation Apps
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 how we conduct business as well. And t...
Nonlinear regression of COVID19 infected cases.
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 is called SIR b...
Multicollinearity in Regression Analysis: Problems, Detection, and Solutions
This article was written by Jim Frost. Multicollinearity occurs when independent variables in a regression model are correlated. This correlation is a problem because in...
Bayesian Machine Learning (Part 8)
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 understand t...
Proxy Quantum Clouds and the JupyterHub
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, th...
New Algorithm For Density Estimation and Noise Reduction
KernelML – Hierarchical Density Factorization The purpose, problem statement, and potential applications came from this post on datasciencecentral.com. The goal i...
Speedup by 10x the Hyperparameter tuning of ML applications on Kubeflow using FPGAs
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...