Machine Learning Articles

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Sara A. Metwalli Sara A. Metwalli
Updated on July 15, 2025

Python Databases 101: How to Choose a Database Library

A Python database refers to using Python to manage and interact with databases, while a Python database library is a Python library that enables this interaction through Python. Here's what to know to choose a Python database library.

Expert Contributors
Data Science
Machine Learning
Image: Shutterstock / Built In
Kerry Halladay Kerry Halladay
Updated on July 14, 2025

How Do Phones Identify Potential Spam Calls?

Spam or safe? Thanks to machine learning, your phone’s getting better at screening calls.

Editors' Picks
Machine Learning
Image: Shutterstock / Built In
Bushra Anjum Bushra Anjum
Updated on July 14, 2025

Does Your Project Need an LLM, Machine Learning or Statistics?

Choosing the right tool depends on your data type, goal, data volume and need for transparency. Our expert offers a framework for this decision.

Expert Contributors
Inferential Statistics
Machine Learning
Image: Shutterstock / Built In
Mike Thomas Mike Thomas
Updated on July 14, 2025

29 Machine Learning in Marketing Examples

These companies are fine-tuning their marketing efforts with machine learning.

Machine Learning
Data Science
Artificial Intelligence
Image: Shutterstock
Max Reynolds Max Reynolds
Updated on July 11, 2025

Guide to Expectation Maximization Algorithm

The expectation-maximization (EM) algorithm is used to estimate model parameters when some data is missing or hidden. It iteratively assigns probabilities to hidden variables and updates parameters to maximize the likelihood of the observed data.

Expert Contributors
Machine Learning
Image: Shutterstock / Built In
Mór Kapronczay Mór Kapronczay
Updated on July 10, 2025

Mean Squared Error (MSE) vs. Mean Squared Logarithmic Error (MSLE): A Guide

Mean squared error (MSE) and mean squared logarithmic error (MSLE) are loss functions used to evaluate regression model prediction accuracy. MSE prioritizes minimizing large absolute errors, and MSLE reduces outlier impact through logarithmic scaling.

Expert Contributors
Data Science
Machine Learning
Image: Shutterstock / Built In
Sparsh Gupta Sparsh Gupta
Updated on July 09, 2025

Why Is Logistic Regression a Classification Algorithm?

Logistic regression is a classification algorithm that applies a sigmoid function to a linear model, converting outputs into probabilities. These probabilities are then used to classify data into binary categories.

Expert Contributors
Data Science
Machine Learning
Image: Shutterstock / Built In
Jayanta Adhikary Jayanta Adhikary
Updated on July 08, 2025

How to Use Ollama API to Run LLMs and Generate Responses

Ollama is an open-source platform that allows users to run LLMs locally using a REST API. Here’s how to use it.

Expert Contributors
Machine Learning
Machine Learning Algorithms
Image: Shutterstock / Built In
Sadrach Pierre Sadrach Pierre
Updated on July 08, 2025

How to Find Outliers (With Examples)

Outlier detection is a data science technique with applications across a variety of industries. Here’s how to find outliers in data by using Python, with examples to illustrate the principles.

Expert Contributors
Data Science
Machine Learning
Image: Shutterstock / Built In
Ellen Glover Ellen Glover
Updated on June 30, 2025

What Is Black Box AI?

Artificial intelligence often makes decisions we don’t understand.

Machine Learning
Artificial Intelligence
Editors' Picks
Image: Shutterstock / Built In

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