Deep Learning

This series goes over neural networks, their various architectures, applications and the math.

Accelerated and Stable Training

Calculus Linear Algebra Python

Optimizers, learning rate scheduling and batch normalization.

01 September 2020

Basics of Neural Networks

Calculus Linear Algebra Python

An overview of basic concepts for neural networks.

05 August 2020

Statistical Machine Learning

This series goes over classical machine learning with statistical models, with the code and the math.

Model Complexity and Regularization

Calculus Linear Algebra Python

Going further from linear models, without getting ahead of ourselves.

06 September 2020

Second Order Optimization Methods

Calculus Linear Algebra Python

Better optimization methods which are more stable than simple gradient descent.

19 August 2020

Linear Regression from Scratch

Calculus Linear Algebra Optimization

Line fitting from ground up.

10 August 2020