.. _stat_learn_tut_index: ========================================================================== A tutorial on statistical-learning for scientific data processing ========================================================================== .. topic:: Statistical learning `Machine learning `_ is a technique with a growing importance, as the size of the datasets experimental sciences are facing is rapidly growing. Problems it tackles range from building a prediction function linking different observations, to classifying observations, or learning the structure in an unlabeled dataset. This tutorial will explore *statistical learning*, the use of machine learning techniques with the goal of `statistical inference `_: drawing conclusions on the data at hand. Scikit-learn is a Python module integrating classic machine learning algorithms in the tightly-knit world of scientific Python packages (`NumPy `_, `SciPy `_, `matplotlib `_). .. include:: ../../includes/big_toc_css.rst .. toctree:: :maxdepth: 2 settings supervised_learning model_selection unsupervised_learning putting_together finding_help