Shypd.aiThe largest open index of AI toolsParallel_ml_tutorial is an open-source tutorial that teaches parallel machine learning using scikit-learn and IPython. It provides educational material including video recordings and interactive notebooks for practical learning.
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Parallel_ml_tutorial is an open-source educational resource designed to teach parallel machine learning concepts using popular Python libraries like scikit-learn and IPython. The tutorial material includes a video recording of a PyCon presentation, along with rearranged and extended content in the form of interactive Jupyter notebooks. It covers scalable feature extraction for text classification and clustering, parallel cross-validation and hyperparameter grid search, analysis of predictive model errors, and memory optimization with NumPy. The tutorial also guides users on setting up an IPython cluster on Amazon EC2 for interactive modeling. It is aimed at developers with some prior experience in scikit-learn and general machine learning concepts.
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