Engineering in Data Science
The importance of engineering skills in data science is increasingly emphasized, as larger datasets and models shift the focus from pure science to engineering challenges. Pair programming is highlighted as a valuable practice for innovation, even in remote settings, while the joy of collaborative problem-solving is acknowledged. The transition to a more flexible work environment is also touched upon, reflecting on personal experiences during the pandemic.In this clip
From this podcast
Super Data Science: ML & AI Podcast with Jon Krohn
SDS 559: GPT-3 for Natural Language Processing — with Melanie Subbiah
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