This episode of our MLOps Weekly Podcast features Simba Khadder, Featureform’s CEO, where he unravels the true meaning of “real-time” machine learning. The discussion breaks down real-time ML into three core aspects: latency, online serving, and real-time features. Simba also covers:
How latency impacts the speed of ML systems
The distinctions between online and offline models
Real-time features and the importance of a balance between data freshness and latency
This podcast will give listeners a better understanding of these concepts and apply them to their own ML projects.
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Simba Khadder. Innehållet i podden är skapat av Simba Khadder och inte av,
eller tillsammans med, Poddtoppen.
