2020
- NumPy Fundamentals for Data Science and Machine Learning
- The Data Science Tree of Knowledge - What is Data Science and How to Educate Data Scientists
- Why Do I Create Free Data Science and Machine Learning Educational Content - For Revenge
- Introduction to the UNIX Shell (Bash)
- Introduction to Jupyter Notebooks - set-up, user-guide, and best practices
- Introduction to Linear Algebra for Applied Machine Learning with Python
- Introduction to Linear Regression - mathematics and application with Python
- The Recurrent Neural Network - Theory and Implementation of the Elman Network and LSTM
- The Convolutional Neural Network - Theory and Implementation of LeNet-5 and AlexNet
- The Multilayer Perceptron - Theory and Implementation of the Backpropagation Algorithm
- The ADALINE - Theory and Implementation of the First Neural Network Trained With Gradient Descent
- The Perceptron - A Guided Tutorial Through Its History and Implementation In Python
- The McCulloch-Pitts Artificial Neuron Model - Theory and Implementation
- How to Create a Jupyter-Book Website From Scratch
- About the nature and utility of computational models of cognition
- The rise, fall, and resurgence of computational cognitive science