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Make Your Investment in Analytic Technology Pay Off With Decision Requirements Modeling

Decision Management Solutions

Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). 1 MIT Sloan Management Review September 06, 2017.

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

Domino Data Lab

Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. Partial Dependence Plot is another visual method, which is model agnostic and can be successfully used to gain insights into the inner workings of a black-box model like a deep ANN. Conference on Knowledge Discovery and Data Mining, pp.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

Figure 3 shows visual explanation of how SMOTE generates synthetic observations in this case. note that this variant “performs worse than plain under-sampling based on AUC” when tested on the Adult dataset (Dua & Graff, 2017). Data mining for direct marketing: Problems and solutions. Cost, S., & Salzberg, S.

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

Figure 4: Visualization of a central composite design. arXiv: Optimization and Control, 2017. [12] Estimating Uncertainty for Massive Data Streams. Improving the sensitivity of online controlled experiments by utilizing pre-experiment data. Central composite designs are made of three parts. production, default) values.

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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 2) Data Discovery/Visualization. We all gained access to the cloud.

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What Is Data Intelligence?

Alation

Data catalogs then integrate compliance at the point of consumption, so people are alerted to sensitive data where it lives. Source: “What’s Your Data Strategy?” HBR Review May/June 2017. Data Intelligence and Metadata. Data intelligence is fueled by metadata. by Leandro DalleMule and Thomas H.