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

Domino Data Lab

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. PDPs for the bicycle count prediction model (Molnar, 2009). Conference on Knowledge Discovery and Data Mining, pp.

Modeling 139
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Big Data Paves The Way For Fantastic New Social Listening Tools

Smart Data Collective

The Complex Role Between Big Data and Social Listening Tools. The majority of consumers who have good interaction with a brand on social networks are more likely to recommend that brand to others. Social media is a critical piece of the marketing puzzle for every brand today, regardless of the industry you’re in.

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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. data collection”) show the “process” steps that a team performs, while the boxes (e.g.,

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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. Because they find interaction with others rewarding and compelling. By late 2009, that experiment was a success, too; they'd climbed back up to 4.5

Metrics 156
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6 Case Studies on The Benefits of Business Intelligence And Analytics

datapine

They then proceeded to analyze three areas: the employee selection and onboarding, the daily staff management, and finally the employees’ behavior and interactions in the restaurants. The fifth benefit of implementing business intelligence and data analytics into your company is the use of predictive analytics.