Tag

Deep Learning

Tag

Browse Deep Learning

1.2 From Matrices to Tensors: Tables, Images, Batches, and Multilinear Structure

We extend vectors into matrices and tensors, starting from real-world data tables, images, videos, and neural-network batches, then building toward formal matrix algebra, tensor …

Apr 28, 2026 · 32 min read

Open →

Course

1.5 Mathematics of Machine Learning and Deep Learning for Time Series

We build the mathematics of time-series learning from scratch: sequences, forecasting, stationarity, autocorrelation, ARIMA, state-space models, Kalman filtering, recurrent …

May 1, 2026 · 16 min read

Open →