Machine Learning Articles

Sorted By: Most Recent
Claire D. Costa Claire D. Costa
Updated on October 15, 2024

12 Data Science Projects for Beginners and Experts

Data science is a booming industry. Try your hand at these projects to develop your skills and keep up with the latest trends.

Image: Shutterstock / Built In
Jenny Lyons-Cunha Jenny Lyons-Cunha
Updated on October 08, 2024

What Is Federated Learning?

It’s a way to train machine learning models across multiple decentralized devices.

Image: Shutterstock
Alyssa Schroer Alyssa Schroer
Updated on October 07, 2024

42 Big Data Companies to Know

To unpack big data is to unpack big solutions — check out the companies maneuvering data on a massive scale.

Image: Shutterstock
Rahul Agarwal Rahul Agarwal
Updated on October 07, 2024

A Complete Guide to PySpark DataFrames

Bookmark this cheat sheet. It contains all the information you’ll need on DataFrame functionality.

Image: Shutterstock / Built In
Alyssa Schroer Alyssa Schroer
Updated on October 04, 2024

22 AI Robotics Companies Driving Innovation

These companies develop AI robots for a range of uses from defense and public safety to manufacturing and industrial operations.

Image: Shutterstock
Anuja Nagpal Anuja Nagpal
Updated on October 03, 2024

L1 and L2 Regularization Methods, Explained

L1 and L2 regularization are the best ways to manage overfitting and perform feature selection when you’ve got a large set of features in a machine learning model.

Image: Shutterstock / Built In
Mamdouh Refaat Mamdouh Refaat
Updated on October 01, 2024

What Is Overfitting?

Overfitting is a common problem in machine learning wherein a model tries to fit the data too precisely. Here’s how to solve it.

Image: Shutterstock / Built In
Xuenong Hong Xuenong Hong
Updated on September 30, 2024

Graph Neural Network (GNN): What It Is and How to Use It

GNN is a powerful tool to help you analyze structural data. This introduction shows you how.

Image: Shutterstock / Built In
Oscar Contreras Carrasco Oscar Contreras Carrasco
Updated on September 30, 2024

Gaussian Mixture Model Explained 

A Gaussian mixture model is a soft clustering machine learning method used to determine the probability each data point belongs to a given cluster. Learn more.

Image: Shutterstock / Built In
Ali Zonoozi Ali Zonoozi
Updated on September 25, 2024

What Is Matrix Factorization?

Matrix factorization is a powerful mathematical technique frequently used in data science, particularly within the realm of unsupervised learning.

Image: Shutterstock / Built In