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The top 15 big data and data analytics certifications

CIO Business Intelligence

The certification focuses on the seven domains of the analytics process: business problem framing, analytics problem framing, data, methodology selection, model building, deployment, and lifecycle management. They can also transform the data, create data models, visualize data, and share assets by using Power BI.

Big Data 126
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Getting to the Future First: How Social Data is Transforming Trend Discovery

KDnuggets

Register now for this webinar, Sep 25 @ 12 PM ET, for a clear approach on how to apply machine learning language technology to massive, unstructured data sets in order to create predictive models of what may be the next “it” ingredient, color, flavor or pack size.

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The Shift toward Intelligent Automation

DataRobot

With the power of DataRobot , creating AI and machine learning models with your data becomes less of a bottleneck due to the guardrails and transparency from getting from data to value. DataRobot delivers powerful AI and automated machine learning to accelerate the model development, deployment , and monitoring of models at scale.

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How to Build and Govern Trusted AI Systems: Technology

DataRobot

We’ll focus on evaluating a model for biased behavior, which can occur during the training process or after it has been deployed in a production environment. . A model is biased when it predicts different outcomes for features in the training dataset. As with model accuracy, there are many metrics one can use to measure bias.

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How to Operationalize Data From Multiple Sources to Deliver Actionable Insights

Speaker: Speakers from SafeGraph, Facteus, AWS Data Exchange, SimilarWeb, and AtScale

Join this webinar to learn how to blend Geospatial data (from SafeGraph), Financial Market and Transaction Data (from Facteus), & Global Websites Visit and Engagement KPIs (from SimilarWeb) to enrich, augment, and improve self-service analytics as well as predictive models.

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How IBM Planning Analytics can help fix your supply chain

IBM Big Data Hub

Build planning models to improve supply chain management. You also build planning models to capture relationships and constraints so that you can change your driver assumptions and immediately see the impact on resources and capacity over time. The challenge faced by every company is matching supply with demand.

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Unlocking New Possibilities with Forecasting Analytics

Sisense

In a recent webinar , I talked about how one of our customers, a performance theater owner, uses predictive analytics. This is where using machine learning as part of a predictive analytics program can be very effective. Improving forecasting analytics with competing models.