Categories: AI/ML Research

Capturing Curves: Advanced Modeling with Polynomial Regression

When we analyze relationships between variables in machine learning, we often find that a straight line doesn’t tell the whole story. That’s where polynomial transformations come in, adding layers to our regression models without complicating the calculation process. By transforming our features into their polynomial counterparts—squares, cubes, and other higher-degree terms—we give linear models the […]

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Beyond automatic differentiation

April 15, 2023

In "FAANG"

Interpreting Coefficients in Linear Regression Models

Linear regression models are foundational in machine learning. Merely fitting a straight line and reading the coefficient tells a lot. But how do we extract and interpret the coefficients from these models to understand their impact on predicted outcomes? This post will demonstrate how one can interpret coefficients by exploring…

August 23, 2024

In "AI/ML Research"

Building a Regression Model in PyTorch

PyTorch library is for deep learning. Some applications of deep learning models are to solve regression or classification problems. In this post, you will discover how to use PyTorch to develop and evaluate neural network models for regression problems. After completing this post, you will know: How to load data…

February 6, 2023

In "AI/ML Research"

AI Generated Robotic Content