Understand the concept of 3D linear regression or regression using 2 independent variables to predict a target variable using simple OLS in 5 minutes.
Is Ridge Regression an optimization of Linear Regression, join me in this post to know the perks of Ridge regression and how it can solve the problem of bias and
Build Deep learning models leveraging gradient descent efficiently with pytorch, replacing the stressful gradient computation at each checkpoint in back propagation.
Join me in this post to decode the concept of RNNs (Recurrent Neural Networks) – a neural network that is specifically built for prediction and classification on data that changes
Join me in this post to get a firm grasp of a fundamental in AI. Breaking down Mini Batch Gradient Descent in simple words using math and python code.
Learn Stochastic Gradient Descent, an optimised version of the Gradient Descent algorithm. Explore the logic with just simple math and few lines of python code
Learn Gradient Descent – one of the most important foundations of developing AI. Join me in this post to explore the beauty of math used in prediction tasks.
Upgraded summarisation by leveraging the exceptional power of GPUs for optimised computation and efficient loading of LLMs.
Discover the secrets of training amazing neural networks. Unlock the power to tackle the bottlenecks and obstacles present in building network architecture and training them.
Learn the intricacies of neural network and build a working model that predicts the iris specie with simple python code.
