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
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… Read More »Speedup by 10x the Hyperparameter tuning of ML applications on Kubeflow using FPGAs
This the second part of Reinforcement Learning (Q-learning). If you would like to understand the RL, Q-learning, and key terms please read Part 1. In… Read More »Reinforcement Learning (Q-learning) – Implementation using R (Part 2)
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… Read More »Reinforcement Learning (Q-learning) – An Introduction (Part 1)
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… Read More »Explaining Data Science to a Non-Data Scientist
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… Read More »Predictability of Life Outcomes – Guess We Can’t Predict Everything
