Unlocking Deep Learning
The conversation highlights the essential components driving deep learning's popularity: big data, big models, and big computations. Emphasizing the importance of starting with a solid business problem, it suggests that smaller companies can leverage supervised learning to demonstrate value quickly. Additionally, the need for a well-aligned technology stack is underscored, advocating for a gradual approach to model development and investment in open-source platforms.In this clip
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The AI Podcast
The Long View on Big Data: Wayne Thompson, Chief Data Scientist, SAS Data Science Institute - Ep. 58
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