Must have any level of demonstrated knowledge of 1 deep learning architectures, including CNN and LSTM; 2 tensorflow, pytorch and, sklearn; and 3 improving performance of machine learning models via use of hyperparameter optimization and iterative experimentation; and 4 Machine learning knowledge, including Bayesian optimization, Bagging, Boosting,br and Clustering. Coursework accepted

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