Basics of Machine Learning

Introduction to Machine Learning

A General Recipe for Machine Learning

Understanding the Basics of Gradients

A Gentle Introduction to Gradient Descent and Its Variants

Understanding Duality and Lagrangians in Optimization

Demystifying Linear Regression: Part I

Demystifying Linear Regression, Part II

Demystifying the Perceptron Algorithm

Demystifying Support Vector Machines on Linearly Separable Data

Demystifying Support Vector Machines: Kernel Machines