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 obtained his PhD in particle physics from the Massachusetts Institute of Technology, followed by postdoctoral research at the University of California, Davis. He then decided to work in industry, taking a role as a data scientist and software engineer at Verizon for two years. When the opportunity to combine his interest in data with his love of teaching arose at The Data Incubator, he joined and has been teaching there ever since.
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