Remove 2020 Remove Data Collection Remove Modeling Remove Statistics
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10 Spectacular Big Data Sources to Streamline Decision-making

Smart Data Collective

Using data sources also enables you to deal with updated information because site visitors have always been turned off by websites with outdated information. Data sources play a very important role in making sure content creators and marketers, scholars and students have access to statistical and factual information.

Big Data 131
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What is a data scientist? A key data analytics role and a lucrative career

CIO Business Intelligence

A data analyst might help an organization better understand how its customers use its product in the present moment, whereas a data scientist might use insights generated from that data analysis to help design a new product that anticipates future customer needs. Data scientist salary.

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What is the Future of Business Intelligence in the Coming Year?

Smart Data Collective

In this article, you’ll discover: upcoming trends in business intelligence what benefits will BI provide for businesses in 2020 and on? The strategic decision-making in the future of business intelligence will be shaped by faster reports, deeper data insights, broader areas of data collection. Identify Opportunities.

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Can Your Dataviz Have an Influence on School Reopening Plans?

Depict Data Studio

Vivian and I are both members of the same Facebook group (a community for everyone taking data visualization training with me). The topic was school reopening plans for the 2020-2021 academic year. Vivian and her colleagues had collected surveys from parents and teachers to gauge their opinions. The Reporting Model.

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Optimizing clinical trial site performance: A focus on three AI capabilities

IBM Big Data Hub

Research conducted by the Tufts Center for Study of Drug Development and presented in 2020 found that 23% of trials fail to achieve planned recruitment timelines 1 ; four years later, many of IBM’s clients still share the same struggle. To do so they require data, which is in no shortage.

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The AIgent: Using Google’s BERT Language Model to Connect Writers & Representation

Insight

The AIgent was built with BERT, Google’s state-of-the-art language model. In this article, I will discuss the construction of the AIgent, from data collection to model assembly. Data Collection The AIgent leverages book synopses and book metadata. Instead, I built the AIgent. features) and metadata (i.e.

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AI adoption in the enterprise 2020

O'Reilly on Data

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.