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A history of tech adaptation for today’s changing business needs

CIO Business Intelligence

The first was becoming one of the first research companies to move its panels and surveys online, reducing costs and increasing the speed and scope of data collection. This project aims to enable the company to transform its insight delivery by using a cloud-enabled infrastructure and proprietary reporting engine, built on open standards.

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Automating Model Risk Compliance: Model Validation

DataRobot Blog

When the FRB’s guidance was first introduced in 2011, modelers often employed traditional regression -based models for their business needs. These newer approaches often have the benefit of higher performance compared to regression-based approaches, but come at the cost of added model complexity.

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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. The term “agile” was originally conceived in 2011 as a software development methodology.

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Themes and Conferences per Pacoid, Episode 5

Domino Data Lab

Guess who benefits most by that? For another perspective: ask anyone who’s ever maintained a popular open source project about the benefits of publishing and peer review w.r.t. Data visualization for prediction accuracy ( credit: R2D3 ). Provide references. Suggest options, caveats, guidance. Help make connections.

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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

During their data preprocessing steps, Maas and his coworkers decided to leave in stop words because they are “indicative of sentiment.” [Note: In more technical machine learning terms, the cost function of the skip-gram architecture is to maximize the log probability of any possible context word from a corpus given the current target word.]

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Showpad accelerates data maturity to unlock innovation using Amazon QuickSight

AWS Big Data

Showpad built new customer-facing embedded dashboards within Showpad eOSTM and migrated its legacy dashboards to Amazon QuickSight , a unified BI service providing modern interactive dashboards, natural language querying, paginated reports, machine learning (ML) insights, and embedded analytics at scale.