A Fundamental Theorem for Epidemiology
The work of an Italian mathematician in the 1930s may hold the key to epidemic modeling. That’s because models that try to replicate reality in… Read More »A Fundamental Theorem for Epidemiology
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 work of an Italian mathematician in the 1930s may hold the key to epidemic modeling. That’s because models that try to replicate reality in… Read More »A Fundamental Theorem for Epidemiology
Product of two large primes are at the core of many encryption algorithms, as factoring the product is very hard for numbers with a few… Read More »New Probabilistic Approach to Factoring Big Numbers
Industry 4.0 or the fourth industrial revolution is predicted to revolve around data. Organizations that will thrive this revolution will be the ones that will… Read More »Data Analytics and Artificial Intelligence: Together Driving the Organization of Today
Mergers & acquisitions happen when companies believe they are more valuable together than when operating separately. The companies join workforces, systems, infrastructure, and data to… Read More »Don't Acquire a Company Until You Evaluate its Data Quality
It’s been two years since Mckinsey invented the term analytics translator, called it the ‘new must-have role’ and predicted we’d need around 5 million of them. FIVE… Read More »Analytics Translators: Fact or Fiction?
Over the years I’ve often been asked by beginners where they should start in statistics, what they should do first, and which parts of statistics… Read More »Simulated Statistics is the New Black
Naming conventions are often quite different in statistics and data science, which causes quite a bit of confusion. Part of the problem with naming conventions… Read More »Statistics Used in Data Science (A Dictionary in One Picture)
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