Supervised Learning Articles

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Louisa Loran Louisa Loran
Updated on October 14, 2025

These Common Mistakes Lead to AI Implementation Failure

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

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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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Sara A. Metwalli Sara A. Metwalli
Updated on July 31, 2025

What Is Data Labeling in Machine Learning?

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.

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Anthony Corbo Anthony Corbo
Updated on June 17, 2025

What Is Supervised Learning?

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

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Stephen Gossett Stephen Gossett
Updated on April 09, 2025

Building a Machine Learning Pipeline? Here’s What You Need to Know.

Automate and replicate without bursting your architecture.

Building a Machine Learning Pipeline? Here’s What You Need to Know.
Jenny Lyons-Cunha Jenny Lyons-Cunha
Updated on April 01, 2025

#AllClimbAllTheTime: The Programs Elevating DISH’s World-Class Leadership Development

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.

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Ellen Glover Ellen Glover
Updated on October 17, 2024

AutoML: What Is Automated Machine Learning?

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.

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Jacob Biba Jacob Biba
Updated on July 18, 2024

4 Types of Machine Learning to Know

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

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Ashwin Raj Ashwin Raj
Updated on February 14, 2024

How to Build a Logistic Regression Model for Classification

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.

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Lisa Bertagnoli Lisa Bertagnoli
Updated on January 09, 2024

What Is Human in the Loop (HITL) in Machine Learning?

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

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