Machine learning abstraction

This invention describes a system that helps people use machine learning without needing to be experts. You tell it what you want to achieve (your objective), and it automatically picks and sets up the right machine learning processes. Crucially, it then watches how users interact with the results and fine-tunes those processes on the fly to make them better.

Why it matters: Filed before MLOps platforms and advanced AutoML tools were widely available. The infrastructure for dynamically adjusting machine learning pipelines based on user feedback is now significantly more mature and accessible.

Status: Not in forceListed as no longer active. The specific reason is not in the record we hold.
How hard to build: SpecializedHeavy software system, machine learning expertise.

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