theoretical

Attached are all the articles and challenges (for my school’s ML Club) that I’ve written here. Most will (hopefully) be rendered with LaTeX, which I’ve discussed here.

Articles

• Double Backpropagation: A Forgotten Algorithm [post]
• Gradient Descent Revisited As Euler’s Method [post]
• Hidden Taylor Series in Theoretical Machine Learning [post]
• Attempts at Closed-Form Logistic Regression [post]

Challenges

• AP Machine Learning C Exam (For Fun :) [pdf]
• When More Parameters Reduce Training Performance: Linear Neural Networks [pdf]
• Gradient Descent in Depth & Create Your Own Regressor Challenge [pdf]
• Artifical Neural Networks + Autoencoders [pdf]