Entropy of rolling dices
The Entropy is one of the most important concepts in many fields like physics, mathematics, information theory, etc. Entropy is related to the number of… Read More »Entropy of rolling dices
This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
The Entropy is one of the most important concepts in many fields like physics, mathematics, information theory, etc. Entropy is related to the number of… Read More »Entropy of rolling dices
Introduction Hybrid Quantum-Classical Computing (HQCC) (a.k.a. Variational Quantum Eigensolver (VQE)) is often touted as one of the main algorithms of Quantum AI. In fact, Rigetti, a… Read More »Quantum Bayesian Network view of hybrid quantum-classical computation
Unfortunately MDP(Markov decision process) ,which is core part of learning agent of autonomous car can’t help to develop inference system which can help to predict… Read More »Covid19 : Chapter 1 : Need of a Master Algorithm
In this post, we will be visualizing survey data for the top survey question types. I’m Tyler Lubben, founder of VizualSurvey, a survey data cleaning tool… Read More »Visualizing Survey Data
In this article, we will examine whether the gasoline prices are related to the variables that are thought to affect gasoline prices the most by… Read More »Testing the Correlation between Time Series Variables
by Carl Hoover, Senior Advisor, Elder Research We observe a peculiar counter-fluctuation in a COVID-19 statistic — daily percent changes in deaths; it has a… Read More »COVID-19: Tuesday Blips in a “Downward Trajectory”
Introduction to 5-part practical guide on becoming a data scientist. Are you someone who: Has studied concepts of statistics, econometrics or mathematics? Loves reasoning, creating… Read More »Data Science for analytical minds | Introduction
Inference and prediction are two often confused terms, perhaps in part because they are not mutually exclusive. Both provide pieces of the “What is data… Read More »Inference vs Prediction in One Picture
Data science, by definition, is an interdisciplinary field which makes use of scientific processes, methods, systems, and algorithms for extracting insights and knowledge from multiple… Read More »Data Science is Changing the World for the Better: Here’s How
We discuss a simple trick to significantly accelerate the convergence of an algorithm when the error term decreases in absolute value over successive iterations, with… Read More »Simple Trick to Dramatically Improve Speed of Convergence