Data Science Articles

Rahul Agarwal

Updated on October 30, 2023

Confidence intervals are always a headache to explain to other data scientists, let alone to a person without a background in statistics. So let’s try to do it ... without the jargon.

Sue Liu

Updated on October 27, 2023

Here’s a quick introduction to the Dirichlet distribution and how you can use it in your own statistical analysis.

Ellen Glover

Updated on October 18, 2023

The Eliza effect is when a person attributes human-level intelligence and understanding to an AI system — and it’s been fooling people for over half a century.

Guillermo Martínez Espina

Updated on October 17, 2023

Understand the difference between the keywords self and cls in Python and when to use each method type. 

Anat Rapoport

Updated on October 12, 2023

Working between data science and management can be tricky. Here’s how to do it with grace.

Ellen Glover

Updated on October 10, 2023

An inside look at the technology that powers your favorite streaming services and e-commerce sites.

Jørgen Veisdal

Updated on October 09, 2023

The pigeonhole principle states that if n items are put into m containers, with n > m, then at least one container must contain more than one item.

Max Reynolds

Updated on October 05, 2023

SOQL is Salesforce’s proprietary programming language that’s used to query data directly from your Salesforce. SQL is a language used to query data from a general database. Here’s what you need to know.

Claire D. Costa

Updated on October 05, 2023

Data visualization tools allow data scientists to communicate their data findings more effectively. Here are the best tools for the job.

Shangjie Lyu

Updated on October 05, 2023

Autopep8 and Black are both great tools to auto-format your Python code to conform to the PEP 8 style guide. Learn the key differences between the two.