What are the Benefits of White Box Models in Machine Learning?

What are the Benefits of White Box Models in Machine Learning?

March 3, 2019

Machine learning (ML) is fast becoming a major area of interest for organizations of all types.  It is helping to power everything from cybersecurity defense, to recruitment, and chatbots. While discussion about the benefits has piqued the interest of many businesses, deciding how to implement ML can be overwhelming.

Siliconrepublic.com spoke to Dr Ryohei Fujimaki, founder and CEO of dotData, about the key differences between black-box and white-box ML models, as well as the growing calls for transparency in data science.

Read the full article “What are the Benefits of White Box Models in Machine Learning?” on Silicon Republic featuring Ryohei Fujimaki.

dotData

dotData Inc.

dotData Automated Feature Engineering powers our full-cycle data science automation platform to help enterprise organizations accelerate ML and AI projects and deliver more business value by automating the hardest part of the data science and AI process – feature engineering and operationalization. Learn more at dotdata.com, and join us on Twitter and LinkedIn.