AutoML and Governance
Low code and no code tools enhance communication but don't replace the need for expertise in machine learning. While AutoML can accelerate workflows for skilled data scientists, relying solely on these tools without governance could lead to challenges. The conversation emphasizes the importance of understanding the nuances of machine learning, as automation should complement, not replace, foundational knowledge.In this clip
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Related Questions
Can auto-tuning simplify machine learning coding in the episode AutoML for Natural Language Processing with Abhishek Thakur - #475 and the clip Automating Machine Learning?
Can auto-tuning simplify machine learning coding in the episode AutoML for Natural Language Processing with Abhishek Thakur - #475 and the clip Automating Model Training?
Is a no-code environment possible as discussed in the episode Building Cody, an Open Source AI Coding Assistant // Beyang Liu // MLOps Podcast #173 and the clip The Future of Low Code/No Code?