In my Sex, Drugs, and Artificial Intelligence class, I have strived to take a balanced look at various topics, including ...

Another big drawback: Any modules not written in pure Python can’t run in Wasm unless a Wasm-specific version of that module ...

Abstract: Principal component analysis (PCA) stands as one of the most extensively utilized techniques in dimensionality reduction. However, PCA uses least squares (LS) loss which may yield poor ...

Abstract: The focus of this study is the processing and analysis of race data, and employs algorithms such as ARIMA model and Principal Component Analysis (PCA) to construct a series of data analysis ...

Unlike PCA (maximum variance) or ICA (maximum independence), ForeCA finds components that are maximally forecastable. This makes it ideal for time series analysis where prediction is often the primary ...