Machine learning (ML) and AI, by their nature, are iterative and complex. This complexity isn’t limited to the challenges inherent in data science. It also extends to the processes, teamwork, and communication required for machine learning and AI projects to be successful.

This eBook explains the three critical traits of successful ML teams, and the risks of missing any of these items:

  • Visibility - ability to view, access, and react to machine learning processes and deliverables
  • Reproducibility - one of the cornerstones of science: the ability to take an experiment, repeat the steps, and reach the same conclusion
  • Collaboration - communications and teamwork across multiple, often disjointed units

Get the eBook now!