Managing Machine Learning Projects - From Design to Deployment
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the intricacies of managing machine learning projects in this insightful 45-minute MLOps Coffee Session featuring Simon Thompson. Gain valuable insights into the multifaceted aspects of ML project management, from setting up and organizing projects to dealing with data assets, addressing business problems, and integrating models into production. Learn from Thompson's extensive experience spanning various industries since 1994, including telecom, defense, manufacturing, and finance. Discover key takeaways on orchestrating different project activities, avoiding common pitfalls, and navigating the evolving landscape of machine learning. Delve into discussions on infrastructure changes, open-source developments, ethical considerations, and scaling challenges in ML projects. Understand the importance of balancing model accuracy with trustworthiness across different markets and get a glimpse into Thompson's book on managing machine learning projects from design to deployment.