Automated Machine Learning: Assessing Available Solutions

Premise  Data scientists are rapidly adopting solutions for automating every step of the machine learning (ML) development pipeline. Developers have access to a growing range of tools for automating various stages of the ML pipeline. Available ML automation solutions include both commercial and open-source tools, and they come with varying degrees of integration in organizations’ […]

Automated Machine Learning: Accelerating Development and Deployment of Statistical Models

Premise Data scientists are rapidly automating every last step of the machine learning (ML) development pipeline. More comprehensive automation is key to developing, optimizing, and deploying ML-based applications at enterprise scale. Data scientists will be swamped with unmanageable workloads if they don’t begin to offload many formerly manual tasks to automated tooling. Automation can also […]