This online seminar will provide an overview on various machine learning techniques including supervised, unsupervised, and reinforcement models of learning, and their applications in the feature extraction and selection process. 

Discussions will cover the broad topics of conventional machine learning and deep learning algorithms with repeated and different software and hardware settings and their role in improving learning performance and measurement. The seminar will also highlight the pre-processing steps to machine learning and ways to deploy models for effective production.

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