Remove 2016 Remove Modeling Remove Predictive Modeling Remove Statistics
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What is Model Risk and Why Does it Matter?

DataRobot Blog

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. When business decisions are made based on bad models, the consequences can be severe. As machine learning advances globally, we can only expect the focus on model risk to continue to increase.

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LaLiga transforms fan experience with AI

CIO Business Intelligence

The transformation, which started in partnership with Microsoft in 2016, is also enabling LaLiga to expand its business by offering technology platforms and services to the sports and entertainment industry at large. It has also developed predictive models to detect trends, make predictions, and simulate results.

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InfoTribes, Reality Brokers

O'Reilly on Data

Before the advent of broadcast media and mass culture, individuals’ mental models of the world were generated locally, along with their sense of reality and what they considered ground truth. ” Reality Decentralized. What has happened? Reality has once again become decentralized.

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Installing Packages in SQL Server R Services

Ms SQL Girl

As you may already know In-database Analytics (also known as Advanced Analytics) is available in SQL Server 2016. To simplify, “In-database Advanced Analytics”: you can run powerful statistical / predictive modelling (from R) inside SQL Server. Read the official definition here. Check Out SQL Latest Bits.

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Virtual Desks and Dashboards ?of the Future

The Data Visualisation Catalogue

Then in around 2016, I first started using VR hardware and from there I had two thoughts: first, that VR is going to be the most revolutionary technology of my lifetime; and second, that VR can make the process of data analysis and presentation much easier (especially in my job as an investment analyst).

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Installing Packages in SQL Server R Services

Ms SQL Girl

As you may already know In-database Analytics (also known as Advanced Analytics) is available in SQL Server 2016. To simplify, “In-database Advanced Analytics”: you can run powerful statistical / predictive modelling (from R) inside SQL Server. Read the official definition here. Check Out SQL Latest Bits.

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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

The excerpt covers how to create word vectors and utilize them as an input into a deep learning model. While the field of computational linguistics, or Natural Language Processing (NLP), has been around for decades, the increased interest in and use of deep learning models has also propelled applications of NLP forward within industry.