Spatiotemporal analysis finds correlations between spatial events to make decisions. Our focus will be on learning techniques to prioritize 911 calls and 311 requests to improve health and safety in our communities.

Practice these skills by participating:

    Test causal relationships between time series

    Forecast values of a time series with vector autoregression

    Find buildings in satellite images with convolutional neural nets

    Fit autoencoders to initialize a deep architecture with pylearn2

    Train generative stochastic networks on GPUs

    Compare optimization techniques in scipy.optimize

    Search nearest neighbors with pykdtree

    Minimize network connection length with networkx

    Cluster topics with latent dirichlet via gensim

    Select models through cross-validation

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