Scikit-learn Tutorial: Statistical-Learning for Scientific Data Processing

Tutorial on statistical learning for use in machine learning  #DataScience #machinelearning

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  • The tutorial will explore statistical learning , that is the use of machine learning techniques with the goal of statistical inference: drawing conclusions on the data at hand.
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  • Machine learning is a technique with a growing importance, as the size of the datasets experimental sciences are facing is rapidly growing.

Zip file for off-line browsing: https://github.com/GaelVaroquaux/scikit-learn-tutorial/zipball/gh-pages Statistical learning Machine learning is a technique

@gcosma1: Tutorial on statistical learning for use in machine learning #DataScience #machinelearning

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, that is the use of machine learning techniques with the goal of statistical inference: drawing conclusions on the data at hand.

scikits.learn is a Python module integrating classic machine learning algorithms in the tightly-knit world of scientific Python packages (numpy, scipy, matplotlib).

Scikit-learn Tutorial: Statistical-Learning for Scientific Data Processing