Remove 2009 Remove Data Collection Remove Measurement Remove Optimization
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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

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. Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Measure and decide what to do.

Metrics 156
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Themes and Conferences per Pacoid, Episode 9

Domino Data Lab

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. measure the subjects’ ability to trust the models’ results. . – back to the structure of the dataset.

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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

Because things are changing and becoming more competitive in every sector of business, the benefits of business intelligence and proper use of data analytics are key to outperforming the competition. As mentioned above, one of the great benefits of business intelligence and analytics is the ability to make informed data-based decisions.

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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

but it generally relies on measuring the entropy in the change of predictions given a perturbation of a feature. PDPs for the bicycle count prediction model (Molnar, 2009). Model distillation – this approach builds a separate explainable model that mimics the input-output behaviour of the deep network. See Wei et al.

Modeling 139