Predicting stock prices with Long Short-Term Memory

Detecting presence of pneumonia using neural networks

Isolating TensorFlow and PyTorch with Conda without hassle

A journey on learning neural networks

The best version of all adaptive learning rate optimization algorithms

Reducing the aggresive learning rate decay in Adagrad using the twin sibling of Adadelta

Reducing the aggresive learning rate decay in Adagrad

Parameter updates with unique learning rate for each parameter

A more conscience version of Stochastic Gradient Descent with Momentum

Fast convergence using Stochastic Gradient Descent with Momentum

My attempt in learning embedded software development

Redoing Ridge Regression from scratch in Python

How to create Lasso Regression and how it can handle multicollinearity

Redoing Logistic Regression from scratch in Python

Minimizing the number of singular values used to reconstruct an image

A collection of Monte Carlo experiments using Julia

Minimizing cost functions with less data points

Updating the parameters after seeing a subset of the dataset

Linear Regression + Batch Gradient Descent in Python

A mathematical adventure into Gradient Descent

A gentle introduction to Linear Regression

It's about to go down! 👇