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

Occam's Razor

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. 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. That metric is tied to a KPI.

Metrics 156
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Big Data Paves The Way For Fantastic New Social Listening Tools

Smart Data Collective

Social media monitoring involves collecting data and is quantifiable. For example, it hones in on metrics in social media like retweets, engagement rates, mention, and story completions. Synthesio is a social listening tool that allows brands to measure the impact of online conversations against their business goals.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

Working with highly imbalanced data can be problematic in several aspects: Distorted performance metrics — In a highly imbalanced dataset, say a binary dataset with a class ratio of 98:2, an algorithm that always predicts the majority class and completely ignores the minority class will still be 98% correct. return synthetic.

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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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Mobile Marketing 2015: Rethink Customer Acquisition, Intent Targeting

Occam's Razor

2009 was the year of mobile. If your company has a non-stinky mobile website and mobile app then congratulations: you have successfully solved the problem of 2009! Measurement? It would not be my blog if there was not at least a word about measurement. Everything described above is measureable. Celebrate a little.

Marketing 144
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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. The fifth benefit of implementing business intelligence and data analytics into your company is the use of predictive analytics.

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

Domino Data Lab

Because of its architecture, intrinsically explainable ANNs can be optimised not just on its prediction performance, but also on its explainability metric. 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).

Modeling 139