Advanced machine learning techniques and frameworks, including:
kernel methods, stochastic embeddings, motion tracking,
linear dynamical systems, spectral graph methods, and deep
learning; frameworks include Spark, dask, Keras, and PyTorch.
Prerequisites: machine learning fundamentals.