Jacob Pieniazek – Medium

Jacob Pieniazek

Jacob Pieniazek
in
Towards Data Science

Double Machine Learning, Simplified: Part 2 — Extensions & the CATE

Learn how to utilize DML for estimating individual level treatment effects to enable data-driven targeting

Jul 31, 2023

Double Machine Learning, Simplified: Part 2 — Extensions & the CATE

Jul 31, 2023

Jacob Pieniazek
in
Towards Data Science

Double Machine Learning, Simplified: Part 1 — Basic Causal Inference Applications

Learn how to utilize DML in causal inference tasks

Jul 12, 2023

Double Machine Learning, Simplified: Part 1 — Basic Causal Inference Applications

Jul 12, 2023

Jacob Pieniazek
in
Towards Data Science

t-SNE from Scratch (ft. NumPy)

Acquire a deep understanding of the inner workings of t-SNE via implementation from scratch in python

Apr 14, 2023

t-SNE from Scratch (ft. NumPy)

Apr 14, 2023

Jacob Pieniazek
in
Towards Data Science

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

Mar 1, 2023

Optimization, Newton’s Method, & Profit Maximization: Part 3 — Applied Profit Maximization

Mar 1, 2023

Jacob Pieniazek
in
Towards Data Science

Optimization, Newton’s Method, & Profit Maximization: Part 2— Constrained Optimization Theory

Learn how to extend Newton’s Method to and solve constrained optimization problems

Feb 2, 2023

Optimization, Newton’s Method, & Profit Maximization: Part 2— Constrained Optimization Theory

Feb 2, 2023

Jacob Pieniazek
in
Towards Data Science

Optimization, Newton’s Method, & Profit Maximization: Part 1 — Basic Optimization Theory

Learn the basics of Newton’s Method for multi-dimensional optimization

Jan 10, 2023

Optimization, Newton’s Method, & Profit Maximization: Part 1 — Basic Optimization Theory

Jan 10, 2023

Jacob Pieniazek
in
Towards Data Science

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

Jun 14, 2022

Predictive Parameters in a Logistic Regression: Making Sense of it All

Jun 14, 2022

Jacob Pieniazek
in
Towards Data Science

Controlling for “X”?

Understanding linear regression mechanics via the Frisch-Waugh-Lovell Theorem

May 26, 2022

Controlling for “X”?

May 26, 2022

Jacob Pieniazek

Jacob Pieniazek

Data Scientist | M.A. Economics | I write on theoretical and real-world applications of econometric, mathematical, and statistical/machine learning techniques

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