Data Science Articles

Sorted By: Most Recent
Aarshiya Khandelwal Aarshiya Khandelwal
Updated on July 28, 2025

How to Talk to Your Data With Natural Language Analytics

Generative AI has flipped business intelligence on its head — from static reporting to conversational discovery. Here’s a strategic guide to conversational databases.

Image: Shutterstock / Built In
Denis Lukichev Denis Lukichev
Updated on July 28, 2025

Recursive SQL Expression Visually Explained

Recursive SQL expressions allow you to reference previous results in a hierarchical data set in order to extract information. Here’s how it works.

Image: Shutterstock / Built In
Cornellius Yudha Wijaya Cornellius Yudha Wijaya
Updated on July 28, 2025

How to Convert Jupyter Notebook to PDF

Converting your Jupyter Notebook to PDF is a useful way to share your processed data set. Here’s how to do it in three simple steps.

Image: Shutterstock / Built In
Raivat Shah Raivat Shah
Updated on July 25, 2025

Introduction to Priority Queues in Python

A priority queue in Python is an abstract data structure that is like a normal queue but where each item has a special “key” to quantify its “priority.”

Image: Shutterstock / Built In
Erdem İŞBİLEN Erdem İŞBİLEN
Updated on July 24, 2025

What Is Process Mining?

Process mining is an emerging data science technique that involves analyzing event logs to extract information about an organization’s underlying operational processes. Here’s how it works.

Image: Shutterstock / Built In
Stephen Gossett Stephen Gossett
Updated on July 23, 2025

What Is Differential Privacy? Can ‘Noisy’ Data Help Add Anonymity to Public Data Sets?

The census and COVID exposure trackers rely on deliberately noisy data as a privacy measure. Here’s how it works.

Anthony Corbo Anthony Corbo
Updated on July 22, 2025

What Is Python?

Python is a programming language used in website development, software development, task automation, data analysis and data visualization.

Image: Shutterstock / Built In
Rohan Mistry Rohan Mistry
Updated on July 16, 2025

Model Interpretability and Explainability Techniques Explained

Model interpretability refers to how easy it is to understand how a model works. Common techniques include SHAP, LIME, PDPs and more. Learn more.

Image: Shutterstock / Built In
Thiago Carvalho Thiago Carvalho
Updated on July 16, 2025

Grouping Data With R: A Guide

Grouping data is an important step in the data analysis process, allowing you to summarize important information. Here’s how to group it in R.

Image: Shutterstock / Built In
Anthony Corbo Anthony Corbo
Updated on July 16, 2025

How Is Python Used in Machine Learning?

Python is a popular programming language to use in machine learning because it offers developers exceptional versatility and power while integrating with other software.

Image: Shutterstock / Built In

Related Topics