Deep learning is the science of developing statistical methods that quantify relationships within data. This branch of mathematics/computer science has seen an explosive growth over the past decade as our ability to store and process digital data has dramatically increased. Prediction, classification, regression, and identification are the aims of learning from data. All of these problems are routinely performed in data analytics. Topics covered include (1) an overview of the literature in learning-based methods and applications (2) understanding a variety of machine learning techniques for classification, regression, and prediction. (3) obtain the ability to implement and experiment with a wide range of deep learning algorithms in Python with examples
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Introduction to Deep Learning
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