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This article explains how to programmatically normalize numeric data for use in a machine learning (ML) system such as a deep neural network classifier or clustering algorithm. Suppose you are trying ...
Continuing its campaign to position itself as the control plan for the artificial intelligence era, Cisco Systems Inc. today ...
Data rarely comes in usable form. Data wrangling and exploratory data analysis are the difference between a good data science model and garbage in, garbage out. Novice data scientists sometimes have ...
Amanda Neuenfeldt is the energy management system (EMS) modeling lead engineer at Actalent, a global company specializing in engineering and sciences services, along with talent solutions. Neuenfeldt ...
It’s tempting just to replicate all databases in the cloud, but it’s a much better approach to get your data house in order as part of the move. Last week I discussed database normalization as a best ...
CONCORD, Calif.--(BUSINESS WIRE)--As building owners become increasingly interested in advanced tools to better manage their properties, Buildings IOT released the OAP (Ontology Alignment Project).
Dr. James McCaffrey of Microsoft Research uses a full code sample and screenshots to show how to programmatically normalize numeric data for use in a machine learning system such as a deep neural ...