https://alexshtf.github.io/2024/06/14/Untilting.html Alex ShtoffUntilting the tilted lossJun 14, 2024 “Typically in machine learning we train a model by minimizing the average loss…. The parameter t can be thought as a kind
What I Read: Density Kernel Depth for Outlier Detection
https://www.kdnuggets.com/density-kernel-depth-for-outlier-detection-in-functional-data Density Kernel Depth for Outlier Detection in Functional DataKulbir SinghNovember 8, 2023 “The Density Kernel Depth (DKD) method provides a nuanced approach to detect outliers in functional data…”
What I Read: Federated, Protects Privacy
https://pair.withgoogle.com/explorables/federated-learning/ How Federated Learning Protects Privacy “With federated learning, it’s possible to collaboratively train a model with data from multiple users without any raw data leaving their devices.”
What I Read: Anomaly Detection Metrics
https://medium.com/@katser/a-review-of-anomaly-detection-metrics-with-a-lot-of-related-information-736d88774712 A Review of Anomaly Detection MetricsIurii KatserJul 12 “Anomaly detection… is a problem… to identify unusual patterns that do not conform to expected behavior…. we will talk about anomaly
What I Read: Isolation Forest
https://towardsdatascience.com/isolation-forest-is-the-best-anomaly-detection-algorithm-for-big-data-right-now-e1a18ec0f94f Isolation Forest is the best Anomaly Detection Algorithm for Big Data Right NowAndrew YoungNov 13 “Isolation forest or “iForest” is an astoundingly beautiful and elegantly simple algorithm that identifies