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Detecting electricity demand patterns using a new method for high-dimensional binary data

Forecasting electricity demand in buildings is now more accurate with Group Encoding (GE), a new method that uses only existing device operation data. Developed by researchers at the Institute of ...
Visual Studio Magazine

Binary Classification Using PyTorch: Preparing Data

Binary Classification Using PyTorch: Preparing Data Dr. James McCaffrey of Microsoft Research kicks off a series of four articles that present a complete end-to-end production-quality example of ...
JSTOR Daily

Longitudinal Studies of Binary Response Data Following Case—Control and Stratified Case—Control Sampling: Design and Analysis

We discuss design and analysis of longitudinal studies after case-control sampling, wherein interest is in the relationship between a longitudinal binary response that is related to the sampling (case ...

Adam Grant on lessons from the pandemic, datum versus data, and how abstract numbers can lead to very real human outcomes

In this excerpt from the new book 'Speak Data,' the Wharton professor and best-selling author shares his thoughts on how we ...
InfoWorld

Java Tip 117: Transfer binary data in an XML document

XML has gained considerable popularity over the past few years as the solution to enterprise integration problems. It provides the means for exchanging data in a platform- and language-independent ...

SAP unveils new AI data tools at TechEd, including Snowflake zero-copy and relational AI model

Today, during TechEd, the company’s annual event for developers and information technology professionals, SAP announced a ...
Visual Studio Magazine

Binary Classification Using PyTorch: Preparing Data

Binary Classification Using PyTorch: Preparing Data Dr. James McCaffrey of Microsoft Research kicks off a series of four articles that present a complete end-to-end production-quality example of ...