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Robert Schroll introduces TensorFlow’s capabilities through its Python interface with a series of Jupyter notebooks, moving from building machine learning algorithms piece by piece to using the higher-level abstractions provided by TensorFlow. You’ll then use this knowledge to build and visualize machine learning models on real-world data.
Robert Schroll is a data scientist in residence at the Data Incubator. Previously, he held postdocs in Amherst, Massachusetts, and Santiago, Chile, where he realized that his favorite parts of his job were teaching and analyzing data. He made the switch to data science and has been at the Data Incubator since. Robert holds a PhD in physics from the University of Chicago.
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