Automating Model Selection
The rise of AutoML tools is set to empower citizen data scientists, allowing those without extensive technical backgrounds to leverage machine learning effectively. While the potential for bias and inaccuracies exists, the influx of venture capital into this space signals significant advancements and opportunities ahead. Sadie highlights the importance of understanding the frameworks behind these tools, emphasizing the balance between accessibility and responsible data handling.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 537: Data Science Trends for 2022 — with Sadie St. Lawrence
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