Search results
Results from the WOW.Com Content Network
scikit-learn (formerly scikits.learn and also known as sklearn) is a free and open-source machine learning library for the Python programming language. [3] It features various classification, regression and clustering algorithms including support-vector machines, random forests, gradient boosting, k-means and DBSCAN, and is designed to interoperate with the Python numerical and scientific ...
An example application is the problem of translating a natural language sentence into a syntactic representation such as a parse tree.This can be seen as a structured prediction problem [2] in which the structured output domain is the set of all possible parse trees.
ML involves the study and construction of algorithms that can learn from and make predictions on data. [3] These algorithms operate by building a model from a training set of example observations to make data-driven predictions or decisions expressed as outputs, rather than following strictly static program instructions.
In regression analysis, an interval predictor model (IPM) is an approach to regression where bounds on the function to be approximated are obtained.This differs from other techniques in machine learning, where usually one wishes to estimate point values or an entire probability distribution.
Given a sample from a normal distribution, whose parameters are unknown, it is possible to give prediction intervals in the frequentist sense, i.e., an interval [a, b] based on statistics of the sample such that on repeated experiments, X n+1 falls in the interval the desired percentage of the time; one may call these "predictive confidence intervals".
The recursion is completed when the subset at a node has all the same values of the target variable, or when splitting no longer adds value to the predictions. This process of top-down induction of decision trees (TDIDT) [ 5 ] is an example of a greedy algorithm , and it is by far the most common strategy for learning decision trees from data.
June 2011) (Learn how and when to remove this message) Predictive analytics , or predictive AI , encompasses a variety of statistical techniques from data mining , predictive modeling , and machine learning that analyze current and historical facts to make predictions about future or otherwise unknown events.
The scikit-learn project started as scikits.learn, a Google Summer of Code project by David Cournapeau. After having worked for Silveregg, a SaaS Japanese company delivering recommendation systems for Japanese online retailers, [3] he worked for 6 years at Enthought, a scientific consulting company.