When you should start using machine learning technology, a model for internal data science training, and what soft skills data scientists need.
- By Lindsay Stares
- June 1, 2017
Blockchain technology solves problems of auditability, security, and provenance for a variety of purposes, but it is not a panacea for data management.
- By Brian J. Dooley
- June 1, 2017
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.
Big financial institutions are recognizing that years of data collection can be used to counter challenges from smaller financial start-ups.
- By Shelton Shugar
- May 31, 2017
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
Although 72 percent of companies are planning to deploy big data in the cloud, the migration path is not always smooth. These tips will help you avoid some common potholes.