A Closer Look

Economists – Machine learning can help do their jobs better

Harvard’s Sendhil Mullainathan is one of a small number of economists who has delved into the world of machine learning, the subfield of computer science concerned with using algorithms to learn from data. His research, along with the work of Stanford’s Susan Athey, suggests that while machine learning may not revolutionize economics, it will greatly expand its possibilities, and more economists should be using it.
When economists analyze data, Mullainathan explains in a recent paper (pdf) with Harvard PhD student Jann Piess, they are typically trying to understand the causal relationship between two variables. For example, an economist might sift through real estate data to figure out how much the size, location, or other factors affect how much people are willing to pay for a home.

Chosen excerpts by Job Market Monitor. Read the whole story at Machine learning can help economists do their jobs better — Quartz


No comments yet.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

Jobs – Offres d’emploi – US & Canada (Eng. & Fr.)

The Most Popular Job Search Tools

Even More Objectives Statements to customize

Cover Letters – Tools, Tips and Free Cover Letter Templates for Microsoft Office

Follow Job Market Monitor on WordPress.com

Enter your email address to follow this blog and receive notifications of new posts by email.

Follow Job Market Monitor via Twitter



%d bloggers like this: