What is Bayesian Modeling?

This video explains Bayesian Modeling : Why do we need Bayesian Modeling? What is Bayesian Modeling? What are some examples where we can practically use Bayesian Modeling ? Check out https://www.tensorflow.org/probability  for code examples. We will have more videos and articles explaining Bayesian extensions of popular models shortly… bayesian_complete_short

What is the Maximum Likelihood Estimate (MLE)?

Probabilistic Models help us capture the inherant uncertainity in real life situations. Examples of probabilistic models are Logistic Regression, Naive Bayes Classifier and so on..  Typically we fit (find parameters) of such probabilistic models from the training data, and estimate the parameters. The learnt model can then be used on unseen data to make predictions….