Bridging Engineering and Data Science
Tuhin shares his experience transitioning from data science to engineering, highlighting the importance of bridging the gap between the two fields. Chris emphasizes the value of collaborating with individuals who have diverse skill sets to create a more holistic approach to AI development.In this clip
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Practical AI
The fastest way to build ML-powered apps
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