The SAS Data Science Blog
Advanced analytics from SAS data scientists
A close look at the first of five DevOps ideals in Gene Kim's book, “The Unicorn Project."
SAS' Phuong Ngo demonstrates an automated shift-left CI/CD security workflow.
Empirical Mode Decomposition (EMD) is a powerful time-frequency analysis technique that allows for the decomposition of a non-stationary and non-linear signal into a series of intrinsic mode functions (IMFs). The method was first introduced by Huang et al. in 1998 and has since been widely used in various fields, such as signal processing, image analysis, and biomedical engineering.
SAS' Ji Shen introduces you to an effective solution for modeling and forecasting count time series.
In her first blog post, SAS' Mu He shows you how to train a convolutional neural network that can accurately detect patients with COVID-19 using the transfer learning technique.
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