Data Science Articles

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Mark Sloan Mark Sloan
Updated on March 15, 2023

How Do You Grow Your Data Science Business?

To succeed, you must develop a true understanding of your users’ desires so you can engage and serve them best.

Alex Circei Alex Circei
Updated on March 15, 2023

Why 2022 Will Be the Year of Git Analytics

Here’s a solution that can make developers more efficient, managers more accurate, and engineering processes less flawed — without becoming an extra drain on resources.

Stephen Gossett Stephen Gossett
Updated on March 15, 2023

What Analytics Translators Do (and What Skills They Need)

Is “analytics translator” a title or a skill set? Yes.

Image: Shutterstock
Charna Parkey Charna Parkey
Updated on March 15, 2023

Deep Learning vs. Machine Learning: What’s the Difference?

What's the difference between deep learning and machine learning? And which should you use?

Image: Shutterstock / Built In
Edward Hearn Edward Hearn
Updated on March 15, 2023

Spreadsheet Organization Is All About Data Processing

Companies often want to apply grandiose, technical solutions to the problem of bad data. In fact, they would be better served to just take their spreadsheets more seriously.

Jeff Catlin Jeff Catlin
Updated on March 15, 2023

When Will AI Revolutionize Your Industry?

Domain-specific AI isn’t here quite yet, but deep language learning models like BERT and GPT-3 suggest it’s just a matter of time before your niche sees its own transformative AI innovations.

Rahul Agarwal Rahul Agarwal
Updated on March 15, 2023

5 Python Magic Methods or Dunder Methods to Know

Also called magic methods, dunder methods are necessary to understand Python. Here’s a guide to getting started with them.

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Peter Wang Peter Wang
Updated on March 15, 2023

How to Combat Shadow IT Data Management

Data scientists and their IT counterparts must work together to develop data management strategies that work for both sides.

Stephen Gossett Stephen Gossett
Updated on March 15, 2023

The Designers Behind ‘Data Sketches’ on Their Eccentric Vision for Data Viz

This project-turned-book made the field weirder and more beautiful.

Joe Gaska Joe Gaska
Updated on March 15, 2023

DataOps Is Here to Stay. Here’s Why.

The methodology tames unruly pipelines in order to increase the value of your data — so you can adapt faster to business changes.

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