Harrison Hoffman – Medium

Harrison Hoffman

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The Key to Smarter Models: Tracking Feature Histories

Capture context and improve predictions with historical data

Dec 31, 2024

The Key to Smarter Models: Tracking Feature Histories

Dec 31, 2024

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A Simple Strategy to Improve LLM Query Generation

Dynamic Few-Shot Prompting

Aug 6, 2024

A Simple Strategy to Improve LLM Query Generation

Aug 6, 2024

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Early Stopping: Why Did Your Machine Learning Model Stop Training?

Why most models are small and LLMs are large

May 11, 2024

Early Stopping: Why Did Your Machine Learning Model Stop Training?

May 11, 2024

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Causal Machine Learning: What Can We Accomplish with a Single Theorem?

Exploring and exploiting the seemingly innocent theorem behind Double Machine Learning

Mar 30, 2024

Causal Machine Learning: What Can We Accomplish with a Single Theorem?

Mar 30, 2024

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Categorical Features: What’s Wrong With Label Encoding?

Why we can’t arbitrarily encode categorical features

Nov 20, 2023

Categorical Features: What’s Wrong With Label Encoding?

Nov 20, 2023

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Building PCA from the Ground Up

Supercharge your understanding of Principal Component Analysis with a step-by-step derivation

Aug 7, 2023

Building PCA from the Ground Up

Aug 7, 2023

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Aliasing: Your Time Series is Lying to You

An intuitive introduction to signal aliasing with Python

Jul 12, 2023

Aliasing: Your Time Series is Lying to You

Jul 12, 2023

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A Performant Way to Query Streaming Data

Improving a real-time streaming project with ksqlDB

May 22, 2023

A Performant Way to Query Streaming Data

May 22, 2023

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Learning Math Through Code: Derivatives

Gain a deeper understanding of derivatives with Python

Mar 20, 2023

Learning Math Through Code: Derivatives

Mar 20, 2023

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Another (Conformal) Way to Predict Probability Distributions

Conformal multi-quantile regression with Catboost

Mar 8, 2023

Another (Conformal) Way to Predict Probability Distributions

Mar 8, 2023

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A New Way to Predict Probability Distributions

Exploring multi-quantile regression with Catboost

Feb 14, 2023

A New Way to Predict Probability Distributions

Feb 14, 2023

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Lineman Stationarity

A data-driven metric for offensive linemen

Feb 6, 2023

Lineman Stationarity

Feb 6, 2023

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Understanding Noisy Data and Uncertainty in Machine Learning

The actual reason your machine learning model isn’t working

Jan 23, 2023

Understanding Noisy Data and Uncertainty in Machine Learning

Jan 23, 2023

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A Real-Time Streaming Project with Smartphone Data

Consume and Process Smartphone Sensor Data with FastAPI, Kafka, QuestDb, and Docker

Dec 23, 2022

A Real-Time Streaming Project with Smartphone Data

Dec 23, 2022

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The Importance of Theory in Data Science

Four examples illustrating why it’s crucial for a data scientist to know what they’re doing

Jun 11, 2022

The Importance of Theory in Data Science

Jun 11, 2022

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Finding the Best Wordle Opener with Machine Learning

How I almost arrived at the same opening word as 3blue1brown

Feb 9, 2022

Finding the Best Wordle Opener with Machine Learning

Feb 9, 2022

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An End-to-End Machine Learning Project — Heart Failure Prediction Part 2

Model deployment in a web application

Jan 20, 2022

An End-to-End Machine Learning Project — Heart Failure Prediction Part 2

Jan 20, 2022

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An End-to-End Machine Learning Project — Heart Failure Prediction Part 1

Data exploration, model training, validation and storage

Dec 29, 2021

An End-to-End Machine Learning Project — Heart Failure Prediction Part 1

Dec 29, 2021

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A Simple Method for Numerical Integration in Python

In this article, we will introduce a simple method for computing integrals in python. We will first derive the integration formula and…

Feb 2, 2021

A Simple Method for Numerical Integration in Python

Feb 2, 2021

Harrison Hoffman

Harrison Hoffman

I'm interested in math, data science, data engineering, software development, and machine learning. https://hfhoffman1144.github.io/portfolio/

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