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Scikit-multiflow
scikit-mutliflow (also known as skmultiflow) is a free and open source software machine learning library for multi-output/multi-label and stream data written in Python. Overview scikit-multiflow allows to easily design and run experiments and to extend existing stream learning algorithms. It features a collection of classification, regression, concept drift detection and anomaly detection algorithms. It also includes a set of data stream generators and evaluators. scikit-multiflow is designed to interoperate with Python's numerical and scientific libraries NumPy and SciPy and is compatible with Jupyter Notebooks. Implementation The scikit-multiflow library is implemented under the open research principles and is currently distributed under the BSD 3-clause license. scikit-multiflow is mainly written in Python, and some core elements are written in Cython for performance. scikit-multiflow integrates with other Python libraries such as Matplotlib for plotting, scikit-learn ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Stream Mining
Data Stream Mining (also known as stream learning) is the process of extracting knowledge structures from continuous, rapid data records. A data stream is an ordered sequence of instances that in many applications of data stream mining can be read only once or a small number of times using limited computing and storage capabilities. In many data stream mining applications, the goal is to predict the class or value of new instances in the data stream given some knowledge about the class membership or values of previous instances in the data stream. Machine learning techniques can be used to learn this prediction task from labeled examples in an automated fashion. Often, concepts from the field of incremental learning are applied to cope with structural changes, on-line learning and real-time demands. In many applications, especially operating within non-stationary environments, the distribution underlying the instances or the rules underlying their labeling may change over time, i. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Python Package Index
The Python Package Index, abbreviated as PyPI () and also known as the Cheese Shop (a reference to the ''Monty Python's Flying Circus'' sketch " Cheese Shop"), is the official third-party software repository for Python. It is analogous to the CPAN repository for Perl and to the CRAN repository for R. PyPI is run by the Python Software Foundation, a charity. Some package managers, including pip, use PyPI as the default source for packages and their dependencies. more than 350,000 Python packages can be accessed through PyPI. PyPI primarily hosts Python packages in the form of archives called (source distributions) or precompiled "wheels." PyPI as an index allows users to search for packages by keywords or by filters against their metadata, such as free software license or compatibility with POSIX. A single entry on PyPI is able to store, aside from just a package and its metadata, previous releases of the package, precompiled wheels (e.g. containing DLLs on Windows), ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Open Research
Open research is research that is openly accessible and modifiable by others. The central theme of open research is to make clear accounts of research methods freely available via the internet, along with any data or results extracted or derived from them, in order to support reproducibility and, potentially, massively distributed research collaboration. In this regard it is related to both open source software and citizen science. Especially for research that scientific in nature, open research may be referred to as open science. However, ''open research'' can also include social sciences, the humanities, mathematics, engineering and medicine. Types of open projects Important distinctions exist between different types of open projects. Projects that provide open data but don't offer open collaboration are referred to as "open access" rather than open research. Providing open data is a necessary but not sufficient condition for open research, because although the data may be u ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Free Statistical Software
Free statistical software is a practical alternative to commercial packages. Many of the free to use programs aim to be similar in function to commercial packages, in that they are general statistical packages that perform a variety of statistical analyses. Many other free to use programs were designed specifically for particular functions, like factor analysis, power analysis in sample size calculations, classification and regression trees, or analysis of missing data. Many of the free to use packages are fairly easy to learn, using menu systems. Many others are command-driven. Still others are meta-packages or statistical computing environments, which allow the user to code completely new statistical procedures. These packages come from a variety of sources, including governments, universities, and private individuals. This article is primarily a review of the general statistical packages. Brief history of free statistical software SAS (software) was among the first commercia ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Data Mining And Machine Learning Software
In the pursuit of knowledge, data (; ) is a collection of discrete values that convey information, describing quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted. A datum is an individual value in a collection of data. Data is usually organized into structures such as tables that provide additional context and meaning, and which may themselves be used as data in larger structures. Data may be used as variables in a computational process. Data may represent abstract ideas or concrete measurements. Data is commonly used in scientific research, economics, and in virtually every other form of human organizational activity. Examples of data sets include price indices (such as consumer price index), unemployment rates, literacy rates, and census data. In this context, data represents the raw facts and figures which can be used in such a manner in order to capture the useful information out of it. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Massive Online Analysis
Massive Online Analysis (MOA) is a free open-source software project specific for data stream mining with concept drift. It is written in Java and developed at the University of Waikato, New Zealand. Description MOA is an open-source framework software that allows to build and run experiments of machine learning or data mining on evolving data streams. It includes a set of learners and stream generators that can be used from the Graphical User Interface (GUI), the command-line, and the Java API. MOA contains several collections of machine learning algorithms: * Classification ** Bayesian classifiers *** Naive Bayes *** Naive Bayes Multinomial ** Decision trees classifiers *** Decision Stump *** Hoeffding Tree *** Hoeffding Option Tree *** Hoeffding Adaptive Tree ** Meta classifiers *** Bagging *** Boosting *** Bagging using ADWIN *** Bagging using Adaptive-Size Hoeffding Trees. *** Perceptron Stacking of Restricted Hoeffding Trees *** Leveraging Bagging *** Online Accuracy Updat ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
University Of Waikato
The University of Waikato ( mi, Te Whare Wānanga o Waikato), is a Public university, public research university in Hamilton, New Zealand, Hamilton, New Zealand established in 1964. An additional campus is located in Tauranga. The university performs research in the disciplines of education, social sciences, and management and is an innovator in environmental science, marine and freshwater ecology, engineering and computer science. It offers degrees in health, engineering, computer science, management, Māori language, Māori and Indigenous Studies, the Arts, the arts, psychology, social sciences and education. History In the mid-1950s, regional and national leaders recognised the need for a new university and urged the then University of New Zealand (UNZ) and the government to establish one in Hamilton. Their campaign coincided with a shortage of school teachers, and after years of lobbying, Minister of Education Philip Skoglund agreed to open a teachers’ college in the region. ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
École Polytechnique
École may refer to: * an elementary school in the French educational stages normally followed by secondary education establishments (collège and lycée) * École (river), a tributary of the Seine The Seine ( , ) is a river in northern France. Its drainage basin is in the Paris Basin (a geological relative lowland) covering most of northern France. It rises at Source-Seine, northwest of Dijon in northeastern France in the Langres plate ... flowing in région Île-de-France * École, Savoie, a French commune * École-Valentin, a French commune in the Doubs département * Grandes écoles, higher education establishments in France * The École, a French-American bilingual school in New York City Ecole may refer to: * Ecole Software, a Japanese video-games developer/publisher {{disambiguation, geo ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Télécom Paris
Télécom Paris (also known as ENST or Télécom or École nationale supérieure des télécommunications, also Télécom ParisTech until 2019) is a French public institution for higher education (''grande école'') and engineering research. Located in Palaiseau, it is also a member of the Institut Polytechnique de Paris and the Institut Mines-Télécom. In 2021 it was the sixth highest ranked French university in the ''World University Rankings'', and the 7th best small university worldwide. In the QS Ranking, Télécom Paris is the 64th best university worldwide in Computer Science. In 1991, Télécom Paris and the EPFL established a school named EURECOM located in Sophia-Antipolis. Students can be admitted either in Palaiseau or in Sophia-Antipolis. History In 1845, Alphonse Foy, director of telegraphic lines, proposed a school specializing in telegraphy for Polytechnicians. However, his proposition was rejected. The school was founded on 12 July 1878 as the École profess ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Decision Tree Learning
Decision tree learning is a supervised learning approach used in statistics, data mining and machine learning. In this formalism, a classification or regression decision tree is used as a predictive model to draw conclusions about a set of observations. Tree models where the target variable can take a discrete set of values are called classification trees; in these tree structures, leaves represent class labels and branches represent conjunctions of features that lead to those class labels. Decision trees where the target variable can take continuous values (typically real numbers) are called regression trees. Decision trees are among the most popular machine learning algorithms given their intelligibility and simplicity. In decision analysis, a decision tree can be used to visually and explicitly represent decisions and decision making. In data mining, a decision tree describes data (but the resulting classification tree can be an input for decision making). General ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Neural Network
A neural network is a network or neural circuit, circuit of biological neurons, or, in a modern sense, an artificial neural network, composed of artificial neurons or nodes. Thus, a neural network is either a biological neural network, made up of biological neurons, or an artificial neural network, used for solving artificial intelligence (AI) problems. The connections of the biological neuron are modeled in artificial neural networks as weights between nodes. A positive weight reflects an excitatory connection, while negative values mean inhibitory connections. All inputs are modified by a weight and summed. This activity is referred to as a linear combination. Finally, an activation function controls the amplitude of the output. For example, an acceptable range of output is usually between 0 and 1, or it could be −1 and 1. These artificial networks may be used for predictive modeling, adaptive control and applications where they can be trained via a dataset. Self-learning re ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Ensemble Learning
In statistics and machine learning, ensemble methods use multiple learning algorithms to obtain better predictive performance than could be obtained from any of the constituent learning algorithms alone. Unlike a statistical ensemble in statistical mechanics, which is usually infinite, a machine learning ensemble consists of only a concrete finite set of alternative models, but typically allows for much more flexible structure to exist among those alternatives. Overview Supervised learning algorithms perform the task of searching through a hypothesis space to find a suitable hypothesis that will make good predictions with a particular problem. Even if the hypothesis space contains hypotheses that are very well-suited for a particular problem, it may be very difficult to find a good one. Ensembles combine multiple hypotheses to form a (hopefully) better hypothesis. The term ''ensemble'' is usually reserved for methods that generate multiple hypotheses using the same base lear ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
