Data Collection, Experimentation, Interactive and Uncertainty

The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

APRIL 8, 2013

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. Because they find interaction with others rewarding and compelling. They might deal with uncertainty, but they're not random. Why do they do it?

Metrics

Metrics KPI Analytics Key Performance Indicator

Product Management for AI

Domino Data Lab

JUNE 23, 2019

Skomoroch proposes that managing ML projects are challenging for organizations because shipping ML projects requires an experimental culture that fundamentally changes how many companies approach building and shipping software. The biggest time sink is often around data collection, labeling and cleaning.

Management

Management Machine Learning Experimentation Metrics

Data Leaders Brief

The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Product Management for AI

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