What Is Machine Learning?

While you may have heard of machine learning, you may not know what it means. In this piece, we examine the definition of machine learning, as well as who uses it and what the future of machine learning might look like.

The Power of Data: How Berkeley's I School is Bringing More Women into Data Science

It’s hard to go a week without seeing a new headline about the importance of data. It’s being used to prevent heart attacks, make factories more efficient, and power self-driving cars. Demand for data scientists is soaring: it’s the fastest growing job in the US, according to LinkedIn. But as data science becomes an increasingly crucial field, women are missing out: only about 26 percent of data jobs are filled by women. And more to the point, the world is missing out on them.

The Language of Data: Analyzing the State of the Union

What can be found in the words of a president’s address? datascience@berkeley compares more than 100 years of State of the Union addresses to find out who’s saying what.

The Political Pendulum: Party Control and Strength in Congress

What does Congress look like after each election? The latest from datascience@berkeley visualizes the speed and strength of political shifts in Congress over time.

Cheer Smarter: Using Advanced Metrics to Analyze the Cost of Being a Sports Fan

 
Can one sports team be quantifiably more fun than the rest?

Year in Review: 2017 MIDS Program Report

Highlights from datascience@berkeley’s 2017 status report.