Trifacta Legends Hall of Fame

Our monthly series showcasing users who are doing legendary work with data

Learn More

The Practical Guide to Actionable Machine Learning

The Practical Guide to Actionable Machine Learning

Preparing data and putting predictive models to work usually requires a numerous set of different skills, tight collaborations with business and IT professionals, and long and intensive deployment efforts to operationalize machine learning within a business process.

Jen Underwood, from Impact Analytix, a recognized expert in the industry, takes a look at how to expedite the entire machine learning project life-cycle by evaluating new approaches and technologies. Her in depth guide, take a real-life example to provide practical and actionable recommendations to successful machine learning adoption.

This guide covers:

  • What modern machine learning life cycle is
  • Define machine learning objectives for success
  • How to assess, explore and prepare data for ML
  • How to automate and operationalize ML modeling