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.
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