573: Automating ML Model Deployment
Super Data Science: ML & AI Podcast with Jon Krohn
00:00
The Future of AutoML and Human Collaboration
This chapter explores the limits of full automation in machine learning, with practitioners expressing the need for more control and the challenge of capturing human intuition in AutoML solutions. It discusses the importance of human collaboration in the AutoML process, comparing it to the partnership between humans and machines in chess. The conversation also covers the responsibilities and learning curve of being a CEO at an early stage tech startup, emphasizing the significance of building infrastructure, uniting the team, and shaping the company's values.
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