Being a data scientist isn't everything it's cracked up to be. Data science has its share of boring, repetitive tasks. On the whole, however, data scientists really love their work.
Learn how to analyze text with compression, statistics, and n-grams using examples from pop culture, history, and literature.
- By Lindsay Stares
- May 31, 2017
Preparing for obsolete data formats, new data unification technologies, and a survey on children’s use of electronics.
- By Lindsay Stares
- May 30, 2017
An ISP's ability to sell our browsing history will create an additional big data source while expanding our digital footprints and further invading our privacy.
- By Mike Schiff
- May 26, 2017
Easy-to-use tools for deep learning will soon become available for mainstream consumption via packaged and SaaS applications as well as function-specific libraries.
Deep learning is rapidly reshaping the boundary of what we think of as possible.
- By Devavrat Shah
- May 24, 2017
We're still far from anything like general-purpose artificial intelligence, but we're witnessing an explosion in the availability of function-specific AI.
Take a break from solving serious data problems and see how enthusiasts use data to judge the taste of water, evaluate movie ratings, and decide the box office champion.
- By Lindsay Stares
- May 24, 2017