Remove 2016 Remove Predictive Modeling Remove Visualization
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Topics to watch at the Strata Data Conference in New York 2019

O'Reilly on Data

Our call for speakers for Strata NY 2019 solicited contributions on the themes of data science and ML; data engineering and architecture; streaming and the Internet of Things (IoT); business analytics and data visualization; and automation, security, and data privacy. An ML-related topic, “models,” was No. This year, AI sits at No.

IoT 20
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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. To do this, go to Visual Studio > R Tools > Options.

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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. To do this, go to Visual Studio > R Tools > Options.

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Plan Carefully for a Citizen Data Scientist Program

Smarten

Planning and Preparing for a Citizen Data Scientist Initiative The term, ‘Citizen Data Scientist’ has been around since 2016, when the world-renowned technology research firm, Gartner, coined the phrase. Be sure the solution you choose has all the features you need and will be easy for your users to learn and adopt.

KPI 52
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Techniques for Collecting, Prepping, and Plotting Data: Predicting Social Media-Influence in the NBA

Domino Data Lab

Knowing that the ultimate goal is to compare the social-media influence and power of NBA players, a great place to start is with the roster of the NBA players in the 2016–2017 season. A further diagnostic step is to plot the predicted values of the linear regression versus the actual values. ggtitle("NBA Teams 2016-2017 Faceted Plot").

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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

GloVe and word2vec differ in their underlying methodology: word2vec uses predictive models, while GloVe is count based. Human brains are not well suited to visualizing anything in greater than three dimensions. Visualizing data using t-SNE. hdf5 ), we then predict for all validation data (exactly as in Example 11.24).