Comparing speed and code complexity of regression algorithms written in C++ and Python

Efficient way to serving web applications with Docker

Minimizing the size of an image using Singular Value Decomposition

Predicting stock prices with Long Short-Term Memory

Detecting presence of pneumonia using neural networks

Isolating Python environments 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

Detecting and handling multicollinearity using L2 regularization

Detecting and handling multicollinearity using L1 regularization

Binary prediction using the logit function made from scratch

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

Continuous prediction made from scratch

It's about to go down! 👇