How do you manage ML projects? 🤔 A question I hear often!
Working in research over the years, I often got asked about the day-to-day of managing machine learning projects. That’s why I’m excited about Google’s new, FREE “Managing ML Projects” guide which I can now point to going forward. it’s only 90 minutes but a good start!
It can be useful for:
* Those entering the ML field 🚀: Providing a clear, structured approach.
* Professionals seeking to refine their ML project management skills.
* Individuals preparing for ML-related interviews: Offering practical insights and frameworks.
This guide covers:
* ML project lifecycle management.
* Applying established project management principles to ML.
* Navigating traditional and generative AI projects.
* Effective stakeholder collaboration.
If you’re curious about ML project management, or want to level up your skills, take a look!
https://developers.google.com/machine-learning/managing-ml-projects