These five competencies are required to build a successful predictive model.
- By Fern Halper
- June 26, 2017
New info about data science salary trends, data quality and skill shortages are still a problem, and the impact of bad data on training algorithms.
- By Lindsay Stares
- June 22, 2017
We are headed toward a future populated with AI and machine learning, where machines take on more of the work people have traditionally done. What does that mean for the business analytics professional?
- By William McKnight
- June 20, 2017
The prospect of chief machine learning officers, the future trends affecting data integration and cloud computing, and the problems with storing all data indiscriminately.
- By Lindsay Stares
- June 15, 2017
MBA programs adding data science classes, Google fights spam with machine learning, and the pros and cons of using machine learning in hiring decisions.
- By Lindsay Stares
- June 6, 2017
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
Preparing for obsolete data formats, new data unification technologies, and a survey on children’s use of electronics.
- By Lindsay Stares
- May 30, 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.