Data Modeling Articles

Thulasi Rangan Jayakumar

Updated on November 19, 2024

Multicollinearity is a common data analysis and statistics issue that can impact the accuracy and reliability of regression model results. Here’s how to address it.

Ted Lango

Updated on October 16, 2024

Without good data, AI is useless. Our expert explains how to make sure your data will support your AI plans.

Stephen Gossett

Updated on October 15, 2024

Looking for free datasets to practice with? Check out these ones suggested by data science instructors.

Claire D. Costa

Updated on October 15, 2024

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

Sara A. Metwalli

Updated on September 05, 2024

The Gamma distribution is one of the most popular and commonly used continuous time distributions because it has many real-world applications. Here are some examples.

Vasu Sattenapalli

Updated on August 19, 2024

Generative AI and large-language models allow non-technical users to work directly with data, but make sure you implement these systems carefully.

Derek Ashmore

Updated on August 19, 2024

The key to optimization might just be automation.

Shanti Greene and Benjamin Weinert

Updated on August 13, 2024

When pre-trained large language models don’t cut it for your business goals, fine-tuning may very well be the answer.

Eric Siegel

Updated on August 12, 2024

Your biggest operations are made up of many small decisions. Predictive modeling can help you make them.

Jignesh Patel

Updated on July 16, 2024

A culture that prizes discovery over verification has led to a crisis in the quality of academic research. If businesses aren’t careful, the same problem will make their expensive data science solutions equally suspect.