Data Modeling Articles

Ravi Narayanan

Updated on November 07, 2023

Data leakage occurs when unexpected additional information infiltrates a training algorithm. Our expert explains what you need to look out for and how to solve this problem.

Anthony Corbo

Updated on November 07, 2023

Data modeling is the process of creating visual representations of information to draw connections between data points that illustrate relationships.

Stephen Gossett

Updated on October 05, 2023

The world of data modeling has lots of tools. Here are some to get you started.

Amir Elkabir

Updated on September 21, 2023

Kaggle has evolved into a playground for established professionals and aspiring data scientists.

Rex Ahlstrom

Updated on August 01, 2023

As your company looks for a data management strategy, you may consider a data mesh or a data fabric architecture. Our expert explains the differences and how to decide which fits your needs.

Scott Thomson

Updated on July 12, 2023

Too much data can endanger results, not to mention consumers and the environment.

Aleksandras Šulženko

Updated on June 14, 2023

The increasing digitization of society means a wealth of public data exists beyond traditional sources. Our expert argues that governments can use this data to make faster, more flexible policy decisions.

Cristiano Breuel

Updated on May 15, 2023

As machine learning matures from research to applied business solution, we need to improve ML’s operation processes.

Madhav Srinath

Updated on May 03, 2023

Business intelligence can help you develop the data fundamentals you need for AI success. Here’s how.

Erdem İŞBİLEN

Updated on April 12, 2023

In statistics, we can use maximum likelihood estimation (MLE) to estimate the parameters of models. Here’s how MLE works.