At Cloudera Fast Forward, we see model interpretability as an important step in the data science workflow. Being able to explain how a model works serves many purposes, including building trust in the model’s output, satisfying regulatory requirements, model debugging, and verifying model safety, amongst other things. We have written a research report (which you […]
We are excited to release Deep Learning for Anomaly Detection, the latest applied machine learning research report from Cloudera Fast Forward Labs. Anomalies, often referred to as outliers, are data points or patterns in data that do not conform to a notion of normal behavior. Anomaly detection, then, is the task of finding those patterns […]