Pragmatic Programming Techniques: Reinforcement Learning Overview

Read More

Regression model outputting probability density distribution

Read More

There are basically 3 different types of Machine Learning Supervised Learning:  The major use case is Prediction.  We provide a set of training data including the input and output, then train a model that can predict output from an unseen input. Unsupervised Learning:  The major use case is Pattern extraction.  We provide a set of …

0 6.5k

For a classification problem (let say output is one of the labels R, G, B), how do we predict ? There are two formats that we can report our prediction Output a single value which is most probable outcome.  e.g. output “B”  if P(B) > P(R) and P(B) > P(G) Output the probability estimation of each …

0 6.5k