753: Blend Any Programming Languages in Your ML Workflows, with Dr. Greg Michaelson
Super Data Science: ML & AI Podcast with Jon Krohn
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Evolution and Challenges of AutoML Platforms
The chapter explores the evolution and success of AutoML platforms like Data Robot and H2O, highlighting their effectiveness for simpler problems but limitations in handling complex challenges. It discusses the necessity of code-based solutions for flexibility and integration in modeling tasks, while acknowledging the value of AutoML for specific projects. The conversation delves into the challenges, nuances, and importance of targeted use of automated machine learning solutions for enhancing efficiency in projects and discusses the concept of citizen data scientists.
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