Super Data Science: ML & AI Podcast with Jon Krohn 573: Automating ML Model Deployment
May 10, 2022
Dr. Doris Xin, CEO of Linea, discusses automating ML model deployment, reducing deployment to Python code, efficiency with DAGs, future of autoML, CEO insights, hiring practices, and data science future. Topics include streamlining deployment process, capturing development workflows, reducing wasted computation, human collaboration in ML, and tools for data scientists.
Chapters
Transcript
Episode notes
1 2 3 4 5 6 7 8
Intro
00:00 • 2min
Transforming Model Deployment for Data Scientists
02:16 • 20min
Efficient Workflow Management with Directed Acyclic Graphs (DAGs) and Wasted Computation Reduction
22:20 • 8min
Making a Big Impact with Career Choices
30:15 • 5min
The Future of AutoML and Human Collaboration
35:14 • 10min
Tools, Hiring Practices, and the Future of Data Science
45:23 • 16min
Exploring the Impact of 'Start With Why' Book on Work Motivation and Customer Understanding
01:01:42 • 2min
Exploring ML Model Deployment, DAGs, and Data Science Future Landscape
01:03:22 • 3min