What are the benefits of white-box models in machine learning?
By Ryohei Fujimaki, dotData CEO and Founder
Machine learning (ML) is fast becoming a major area of interest for organisations of all types and it is helping to power everything from cybersecurity defence 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 data automation platform DotData, about the key differences between black-box and white-box ML models and the growing calls for transparency in data science.
Click here to read the full article in Silicon Republic which features Ryohei Fujimaki, dotData CEO and founder.