SakshiMaximum likelihood estimation — Machine Learning ConceptsMaximum Likelihood Estimation (MLE) is a technique used to estimate the parameters of a statistical model.Mar 3, 2022Mar 3, 2022
SakshiHidden Markov Models and their AlgorithmsAccording to L.R Rabiner et al[1], a hidden Markov model is a doubly embedded stochastic process with an underlying stochastic process that…Feb 28, 2022Feb 28, 2022
SakshiWhat are Convolutional Neural Networks?Let’s say, you want to create a model that can differentiate if the animal in an image is a cat or a dog. We immediately think of a…Feb 26, 2022Feb 26, 2022
SakshiKurtosis and SkewnessThe most commonly found distribution in nature is the normal distribution, which has a bell-shaped curve.Feb 22, 2022Feb 22, 2022
SakshiActivation FunctionsAn activation function transforms the sum of weighted inputs given to a node in a neural network using a formula.Feb 6, 2022Feb 6, 2022
SakshiDrawing Contours Around ObjectsWe usually draw square or elliptical contours around objects. But how to draw contours along the boundary of the objects using Python and…May 25, 2021May 25, 2021