Understanding by human analysts is crucial for speeding machine learning into production. What better illuminator than ML itself ?
As Chief Analytics Officer at FICO, many people assume I spend most of my time tucked away in the data science lab, wearing a white coat amidst the clatter of chalk against blackboard and fingers against keyboard, a slide rule stuck in my chest pocket. In reality, I spend a lot of my time with customer audiences worldwide, explaining how artificial intelligence (AI), machine learning (ML) and other leading-edge technologies can be applied to solve today’s business problems.
Neural networks are one of those technologies. They are a critical component machine learning, which can dramatically boost the efficacy of an enterprise arsenal of analytic tools. But countless organizations hesitate to deploy machine learning algorithms given their popular characterization as a “black box”. READ MORE ON: RT INSIGHTS