Myths of MLOps
Miko challenges common misconceptions about MLOps, emphasizing that a formal computer science degree is not necessary for success. Empathy and research skills are crucial for understanding data scientists' workflows. Additionally, foundational knowledge and practical experience in building software outweigh the importance of specific tools or formal accreditation.In this clip
From this podcast

Super Data Science: ML & AI Podcast with Jon Krohn
SDS 599: MLOps: Machine Learning Operations — with @Miki_ML
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