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…4 min read·Dec 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.5 min read·Dec 16, 2023--1--1
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.6 min read·Dec 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…4 min read·May 23, 2024----
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…6 min read·May 23, 2024----