This class is a graduate-level introduction to Natural Language Processing (NLP), the study of computing systems that can process, understand, or communicate in human language. The course covers ...

Abstract: High-fidelity in-phase and quadrature (I/Q) signal traces are critical for a variety of wireless network applications, including spectrum monitoring, interference detection and mitigation, ...

Classification algorithms learn how to assign class labels to examples (observations or data points), although their decisions can appear opaque. A popular diagnostic for understanding the decisions ...

Dr. James McCaffrey from Microsoft Research presents a full-code, step-by-step tutorial on using the LightGBM tree-based system to perform binary classification (predicting a discrete variable that ...

Machine learning with neural networks is sometimes said to be part art and part science. Dr. James McCaffrey of Microsoft Research teaches both with a full-code, step-by-step tutorial. A binary ...

dat$pp <- 1/(1+exp(-as.vector( XX %*% beta0))) # true Bernoulli probability dat$YL <- rbinom(n=nrow(dat), size=1, prob=dat$pp) # learning data dat$YT <- rbinom(n=nrow ...

Description: Using TensorFlow Decision Forests for structured data classification. that are compatible with Keras APIs. The models include [Random Forests](https ...