In the past, topics have included: the field of statistics and its history, large-scale sample surveys, survival analysis, subjective probability, time series, robustness ... penalized linear ...

See exactly how L2 regularization reduces overfitting — with a full neural network demo in Python. #L2Regularization ...

Mobile user experience isn’t a one off design—it’s a moving target shaped by real time decisions, micro interactions and user expectations. In this always on world, success belongs to apps that listen ...

While not uncommon in modern enterprises, this reality requires IT leaders to ask themselves just how accessible all that data is. Particularly, are they achieving real-time data integration?

Li, S. and Tan, Q. (2025) Bankruptcy Prediction in the Polish Banking Industry Using Principal Component Analysis and BP ...

NVIDIA introduces NV-Tesseract, a model family transforming time-series data analysis, enhancing anomaly detection, forecasting, and classification across industries including finance and healthcare.

Stocks: Real-time U.S. stock quotes reflect trades reported through Nasdaq only; comprehensive quotes and volume reflect trading in all markets and are delayed at least 15 minutes. International ...

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

This paper addresses a valuable research question on the heritability of the brain's response to movie watching, given various parameters such as regional spatial hyperalignment and BOLD frequency ...