Summary
In this episode, we chat with Dean Pleban, CEO of DagsHub, about machine learning operations. We explore the differences between DevOps and MLOps, focusing on data management and experiment tracking. Dean shares insights on versioning various components in ML projects and discusses the importance of user experience in MLOps tools. We also touch on DagsHub's integration of AI in their product and Dean's vision for the future of AI and machine learning in industry.
Links
DagsHubThe MLOps PodcastDean on LIChapters00:00 Introduction and Background
03:03 Challenges of Managing Machine Learning Projects
10:00 The Concept of Experiments in Machine Learning
12:51 Data Curation and Validation for High-Quality Data
27:07 Connecting the Components of Machine Learning Projects with DAGS Hub
29:12 The Importance of Data and Clear Interfaces
43:29 Incorporating Machine Learning into DAGsHub
51:27 The Future of ML and AI
