Managing Machine Learning Projects

Presented by

Dr. Simon Thompson, expert and author

About this talk

Sometimes people manage machine learning projects as if they were software development projects. Sometimes they use approaches that have evolved and "just work for them." And sometimes they don't manage them at all! But the community "in the know" has come up with approaches and techniques that work to remove risk from ML projects and create high quality outcomes without burning out valuable teams in the process. I've written this all up in the book Managing Machine Learning Projects: From Design to Deployment (Manning, 2022). In this talk, I'll give an overview of the methodology and the motivations behind it. Attendees will learn: - How to get a project started; - What the team needs to focus on up front; - Where the risks come from; - How to handle the model development process; - Why evaluation is fundamental to success; - How and why to integrate ethics into the process; - What needs to be considered when integrating ML into applications.
Related topics:

More from this channel

Upcoming talks (14)
On-demand talks (201)
Subscribers (93816)
Data is the foundation of any organization and therefore, it is paramount that it is managed and maintained as a valuable resource. Subscribe to this channel to learn best practices and emerging trends in a variety of topics including data governance, analysis, quality management, warehousing, business intelligence, ERP, CRM, big data and more.