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 states that one s...
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Quantum Bayesian Network view of hybrid quantum-classical computation
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 fac...
How important is technology in education?
Technology in education assists in building better critical thinking skills, offers dynamic and data-driven learning, nourishes flexibility and creativity in children to...
Damn Pandemic: Epidemiological Models
After being confined for 2 months and hearing the word pandemic almost daily, seeing graphs, opinions, time lines and values that rise and fall, I became curious. Firstly...
KISS – Complex DNN Techniques are Not the Improvements They’re Reported to Be
Summary: In a comprehensive study of 18 recently presented DNN advancements in top-N recommenders, only 7 presented sufficient data to allow reproduction. Worse, of t...
PWAs VS Native Apps: Which are Better?
Progressive web apps have been a success since their onset. PWAs load faster than other apps and they are smaller in size too. Did you know Uber’s PWA takes just 3 seco...
Leveraging Data Science to Create a COVID-19 At-Risk Score
Everyone wants to restart the economy safely. Everyone. The question isn’t “if”, it’s “when” and “how” and somehow that’s when politics gets involve...
How to maintain Model Effectiveness after deployed
How to maintain Model Effectiveness after deployed When we ready to deploy a good predictive model which given a good accuracy score on training and testing dataset, ther...
Covid19 : Chapter 1 : Need of a Master Algorithm
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 Co...
Difference Between Classification and Regression in One Picture
Regression and classification are both supervised machine learning techniques that use known data to make predictions. Where they differ is in what type of question y...