Softmax Function
The soft-max function is a generalization of the logistic function that normalizes a N-dimensional vector of arbitrary real values to a range of (0,1). It is used to obtain the […]
Category Archives: Machine Learning
Swarm Optimization
Particle swarm optimization (PSO) is a swarm intelligence based computational technique that can be used to find an approximate solution to a problem by iteratively trying to search candidate solutions […]
Bayesian Decision Theory
Bayesian Decision Theory (BDT), also known as Bayesian Hypothesis Testing and Bayesian inference, is a fundamental statistical approach that quantifies the tradeoffs between various decisions using distributions and costs that […]
Logistic Regression
In statistics and machine learning, logistic regression is a type of probabilistic classification model. An example of a classification problem is to label an email as either “spam” or “not […]
Mad Mind of a PhD Student 