Dimensionality Reduction, Embedding, Prediction — Time series data is prevalent in important applications such as robotics, finance, healthcare, and cloud monitoring. In these applications, we typically encounter time series with very high dimensions where the ML task is to perform classification for signal characterization, regression for prediction, or function approximation within a reinforcement learning agent.