Incorporating machine learning capabilities into software or apps is quickly becoming a necessity rather than a “nice to have” feature, and the open source machine learning framework TensorFlow is becoming an industry standard.
Rich Ott leads you through two days of intensive learning that include a review of linear algebra essential to machine learning, an introduction to TensorFlow, and a dive into neural networks. You’ll master simple machine learning models such as classification and regression models, construct and launch graphs in TensorFlow by 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.
The class will be taught using TensorFlow’s Python interface.
Richard Ott is a data scientist in residence at the Data Incubator, where he gets to combine 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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