Supervised Learning Articles

Louisa Loran

Updated on October 14, 2025

AI has huge potential, but making the most of it is a test of leaders’ management ability.

Harshil Patel

Updated on September 29, 2025

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

Sara A. Metwalli

Updated on July 31, 2025

Data labeling is the process of annotating raw data with meaningful tags or classifications so machine learning models can learn to recognize patterns and make accurate predictions.

Anthony Corbo

Updated on June 17, 2025

Supervised learning is a type of machine learning approach that uses labeled data sets to train algorithms to classify data or predict outcomes.

Stephen Gossett

Updated on April 09, 2025

Automate and replicate without bursting your architecture.

Jenny Lyons-Cunha

Updated on April 01, 2025

DISH believes opportunity is its greatest benefit — and that means preparing its team members for their next step. Built In sat down with three members of its leadership development team to find out how DISH cultivates greatness.

Ellen Glover

Updated on October 17, 2024

Automated machine learning (AutoML) refers to automating the tasks of building machine learning models. Here’s a closer look at why the technology matters, its pros and cons, how it’s being used and what it means for the future of data scientists.

Jacob Biba

Updated on July 18, 2024

Machines are using the abundance of today's data to learn just like humans do.

Ashwin Raj

Updated on February 14, 2024

Logistic regression is a classification technique that identifies the best fitting model to describe the relationship between the dependent and independent variables in a data set.

Lisa Bertagnoli

Updated on January 09, 2024

Human in the loop enables humans to refine machine learning models.