Machine Learning Articles

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Moudy Elbayadi Moudy Elbayadi
Updated on October 20, 2025

How Generative AI Is Transforming the Retail Industry

The technology promises to revolutionize everything from customer experiences to inventory management.

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Harshil Patel Harshil Patel
Updated on September 29, 2025

Feature Engineering Explained

Feature engineering is the process of selecting, transforming and creating features from raw data to improve the performance of supervised learning models.

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Suraj Gurav Suraj Gurav
Updated on September 22, 2025

An Introduction to the Confusion Matrix in Python

A confusion matrix is a table used to evaluate the performance of a classification model by comparing the predicted labels with the actual labels, showing true positives, true negatives, false positives and false negatives.

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Jye Sawtell-Rickson Jye Sawtell-Rickson
Updated on September 16, 2025

What Is PyTorch?

PyTorch is an open-source machine learning framework used for training deep neural networks.

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Eric Kleppen Eric Kleppen
Updated on September 16, 2025

What Is Sentiment Analysis?

We use sentiment analysis to gain insights into a target audience’s feelings about a particular topic. Here are the basics of sentiment analysis types and techniques.

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Parul Pandey Parul Pandey
Updated on September 15, 2025

How to Enable Jupyter Notebook Notifications

Jupyternotify is a Jupyter Notebook extension that provides a browser notification when a code cell is done executing.

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Mohammed Alhamid Mohammed Alhamid
Updated on September 12, 2025

Ensemble Models: What Are They and When Should You Use Them?

An ensemble model combines multiple machine learning models to improve prediction accuracy, outperforming a single model. Here’s how and when to use ensemble techniques for your machine learning models.

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Peter Grant Peter Grant
Updated on September 10, 2025

How to Find Residuals in Regression Analysis

Do you need to improve your regression model’s performance? Use this sample Python code to help you find residuals in your own projects.

Sue Liu Sue Liu
Updated on September 02, 2025

The Dirichlet Distribution: What Is It and Why Is It Useful?

The Dirichlet distribution is a multivariate probability distribution that models vectors of non-negative values summing to one, commonly used as a prior for categorical and multinomial variables in Bayesian statistics.

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Steve Roop Steve Roop
Updated on August 28, 2025

Why GPT-5 Fell Short of the Hype

OpenAI’s GPT-5 was announced to soaring hype but fell short of the revolutionary leap many expected. Here’s what went wrong and why GPT-5 still represents a step forward for AI.

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