Deep Learning for Clinical DiagnosticsNikolay OskolkovBlockedUnblockFollowFollowingMay 20Image sourceMaking safer biomedical predictions with Deep LearningThis is the fourth article in the series…
Continue Readingbayesian
Is your algorithm confident enough?
First, let’s get a feel for what we’re about to measure. Photo credit: Juan Rumimpunu. Putting a number on uncertainty.…
Continue ReadingMarkov Networks: Undirected Graphical Models
Markov Networks: Undirected Graphical ModelsKushal ValaBlockedUnblockFollowFollowingMar 10This article briefs you about Markov Networks which falls under the family of Undirected…
Continue ReadingWill the Sun Rise Tomorrow? Introduction to Bayesian Statistics for Machine Learning
Why do machine learning specialists and data scientists need Bayesian statistics?Bayesian Statistics vs Frequentist StatisticsFor those of you with no…
Continue ReadingHow to Make Data-Driven Decisions with Contextual Bandits
The main idea with Thompson sampling is:“When in doubt: Explore!” — Michael Klear, trying to explain Thompson sampling.The simpler-case of contextual bandits,…
Continue Reading