Articles
Articles
I write on Medium for Towards Data Science.
My articles explore real-world and theoretical applications of econometric, mathematical, and statistical/machine learning techniques. Most importantly, I write help others and myself learn complex topics at a deeper level!
As a believer and beneficiary of knowledge sharing, I hope my articles make complex topics just a bit more accessible to all.
Double Machine Learning, Simplified: Part 2 - Targeting & the CATE
Learn how to utilize DML for estimating individual level treatment effects to enable data-driven targeting
Double Machine Learning, Simplified: Part 1 - Basic Causal Inference Applications
Learn how to utilize DML in causal inference tasks
t-SNE from Scratch (ft. NumPy)
Acquire a deep understanding of the inner workings of t-SNE via implementation from scratch in python
Optimization, Newton's Method, & Profit Maximization: Part 3 - Applied Profit Maximization
Learn how to apply optimization & econometric techniques to solve an applied profit maximization problem
Optimization, Newton's Method, & Profit Maximization: Part 2 - Constrained Optimization Theory
Learn how to extend Newton's Method to solve constrained optimization problems
Optimization, Newton's Method, & Profit Maximization: Part 1 - Basic Optimization Theory
Learn how to solve and utilize Newton's Method to solve multi-dimensional optimization problems
Predictive Parameters in a Logistic Regression: Making Sense of it All
Acquire a robust understanding of logit model parameters beyond the canonical odds ratio interpretation
Controlling for 'X'?
Understanding Linear Regression Mechanics via the Frisch-Waugh-Lovell Theorem
Double Machine Learning, Simplified: Part 2 - Targeting & the CATE
Learn how to utilize DML for estimating individual level treatment effects to enable data-driven targeting
Double Machine Learning, Simplified: Part 1 - Basic Causal Inference Applications
Learn how to utilize DML in causal inference tasks
t-SNE from Scratch (ft. NumPy)
Acquire a deep understanding of the inner workings of t-SNE via implementation from scratch in python
Optimization, Newton's Method, & Profit Maximization: Part 3 - Applied Profit Maximization
Learn how to apply optimization & econometric techniques to solve an applied profit maximization problem
Optimization, Newton's Method, & Profit Maximization: Part 2 - Constrained Optimization Theory
Learn how to extend Newton's Method to solve constrained optimization problems
Optimization, Newton's Method, & Profit Maximization: Part 1 - Basic Optimization Theory
Learn how to solve and utilize Newton's Method to solve multi-dimensional optimization problems
Predictive Parameters in a Logistic Regression: Making Sense of it All
Acquire a robust understanding of logit model parameters beyond the canonical odds ratio interpretation
Controlling for 'X'?
Understanding Linear Regression Mechanics via the Frisch-Waugh-Lovell Theorem
