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Nathan Epstein

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titleconferencedate
Using Random Forests in PythonPyData London 20172017-05-05
Shows concrete results: out‑of‑the‑box scikit-learn regressor fits a noisy xsin(x) curve with no tuning, a random forest classifier* perfectly separates…
Talk on
Machine Learning at ScalePyData Berlin 20162016-05-20
scikit-learn falls short on very large datasets so the stack uses PySpark and MLlib on AWS with HDFS (optionally managed via Flint Rock) to run distributed…
Talk on
Data Analysis with JavaScriptEmpireNode 20152015-10-23
Claims JavaScript becomes viable for data analysis because of Node + npm for file I/O and packages and D3 / charting libs for visualization. Demo reads the…
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