PinnedAman AgrawalAll About Transfer LearningTransfer learning is used in the domain of machine learning and is very much popular in deep learning, so let’s understand what is this…Dec 31, 2023Dec 31, 2023
PinnedAman AgrawalAll about Overfitting and RegularizationRegularization is the one of the common terms , that we come across in the field of machine learning and deep learning.Dec 16, 20231Dec 16, 20231
PinnedAman AgrawalBatch vs Stochastic vs Mini Batch Gradient Descent TechniquesBefore reading this we should have some basic idea of what gradient descent is , basic mathematical knowledge of functions and derivatives.Dec 6, 2023Dec 6, 2023
Aman AgrawalMaximum A Posteriori(MAP) — Enhanced MLE with Prior FunctionThis would be a short blog on Maximum a posteriori (MAP) , this would require some knowledge of Maximum likelihood(MLE) as I have written…May 23May 23
Aman AgrawalMaximum Likelihood Estimation — Parameter Estimation Technique — Machine LearningMaximum Likelihood estimation (MLE) is a method of parameter estimation and perhaps the most important technique to estimate the…May 23May 23