Supervised Learning Articles

Harshil Patel

Updated on November 07, 2024

Feature engineering is the process of selecting, manipulating and transforming raw data into features that can be used in supervised learning.

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.

Jenny Lyons-Cunha

Updated on April 26, 2024

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.

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.

Noa Heinrich

Updated on November 17, 2023

Here’s what you need to know about machine learning.

Anthony Corbo

Updated on November 07, 2023

Unsupervised learning is a form of machine learning that involves processing unlabeled data inputs and outputs in order to predict outcomes.

Anthony Corbo

Updated on November 07, 2023

Supervised learning is an approach to machine learning that uses labeled data sets to train algorithms in order to properly classify data and predict outcomes.

Sara A. Metwalli

Updated on July 12, 2023

Data labeling is a crucial step for supervised machine learning algorithms. Here’s what you need to know about data labeling methods, advantages and best practices.