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Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide de
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A hands-on guide to building and deploying deep learning models with Python Key Features ● Acquire the skills to perfor
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Develop Bayesian Deep Learning models to help make your own applications more robust. Key Features Learn how advanced c
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Use PyTorch and Python recipes for forecasting, classification, and anomaly detection Learn how to deal with time serie
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Discover why the MATLAB programming environment is highly favored by researchers and math experts for machine learning w
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The Science of Deep Learning emerged from courses taught by the author that have provided thousands of students with tra
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Key FeaturesGet to grips with the deep learning concepts and set up Hadoop to put them to useImplement and parallelize d
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