Machine learning capabilities in software or apps is no longer a “nice to have” feature, and the open source machine learning framework TensorFlow is becoming an industry standard. Rich Ott explores simple machine learning models such as classification and regression models, constructs and launches graphs in TensorFlow using TensorBoard to visualize workflow and build and test models in TensorFlow using real-world data. You’ll leave with both a theoretical and practical understanding of the algorithms behind machine learning and be ready to incorporate them into your next project.
You’ll be taught using TensorFlow’s Python interface.
Richard Ott is a data scientist in residence at the Data Incubator, where he combines his interest in data with his love of teaching. Previously, he was a data scientist and software engineer at Verizon. Rich holds a PhD in particle physics from the Massachusetts Institute of Technology, which he followed with postdoctoral research at the University of California, Davis.
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