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A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management ๐
A curated list of awesome open source and commercial platforms for serving models in production ๐
A curated list of awesome open source and commercial MLOps platforms ๐
In the first course of Machine Learning Engineering for Production Specialization, you will identify the various components and design an ML production system end-to-end: project scoping, data needs, modeling strategies, and deployment constraints and requirements; and learn how to establish a model baseline, address concept drift, and prototype the process for developing, deploying, and continuously improving a productionized ML application.
A controlled environment to play around with various data errors and stages in the ML lifecycle and measure their impact on model fairness and stability.
Predict the future sale price of a bulldozer, given its characteristics and previous examples of how much similar bulldozers have been sold for...