|
Scikit-multiflow
scikit-mutliflow (also known as skmultiflow) is a Free and open-source software, free and open source software machine learning library for multi-output/multi-label and Data stream mining, stream data written in Python (programming language), Python. Overview scikit-multiflow allows to easily design and run experiments and to extend existing stream learning algorithms. It features a collection of Statistical classification, classification, Regression analysis, regression, Concept drift, 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_licenses#3-clause, BSD 3-clause license. scikit-multiflow is mainly written in Python, ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
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] [Amazon] |
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 sketch, Cheese Shop"), is the official third-party software repository for Python (programming language), Python. It is analogous to the CPAN repository for Perl and to the R_package#Comprehensive_R_Archive_Network_(CRAN), CRAN repository for R (programming language), R. PyPI is run by the Python Software Foundation, a charity. Some Package manager, package managers, including pip (package manager), pip, use PyPI as the default source for packages and their dependencies. more than 530,000 Python packages are available. PyPI primarily hosts Python packages in the form of source archives, called "sdists", or of "wheels" that may contain binary modules from a compiled language. PyPI as an index allows users to search for packages by Index term, keywords or by Filter (software), filters against their metadata, such as free so ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
Open Research
Open research is research that is openly accessible by others. Those who publish research in this way are often concerned with making research more transparent, more collaborative, more wide-reaching, and more efficient. Open research aims to make both research methods and the resulting data freely available, often via the internet, 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 is scientific in nature, open research may be referred to as open science. However, the term can also implicate research done in fields as varied as the 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 resear ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
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 commerci ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
Data Mining And Machine Learning Software
Data ( , ) are a collection of discrete or continuous values that convey information, describing the quantity, quality, fact, statistics, other basic units of meaning, or simply sequences of symbols that may be further interpreted formally. A datum is an individual value in a collection of data. Data are usually organized into structures such as tables that provide additional context and meaning, and 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 are commonly used in scientific research, economics, and virtually every other form of human organizational activity. Examples of data sets include price indices (such as the consumer price index), unemployment rates, literacy rates, and census data. In this context, data represent the raw facts and figures from which useful information can be extracted. Data are collected using techniques such as m ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
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] [Amazon] |
University Of Waikato
The University of Waikato (), established in 1964, is a Public university, public research university located in Hamilton, New Zealand, Hamilton, New Zealand. An additional campus is located in Tauranga. The university performs research in numerous disciplines such as 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. In 1960, th ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
École Polytechnique
(, ; also known as Polytechnique or l'X ) is a ''grande école'' located in Palaiseau, France. It specializes in science and engineering and is a founding member of the Polytechnic Institute of Paris. The school was founded in 1794 by mathematician Gaspard Monge during the French Revolution and was militarized under Napoleon I in 1804. It is still supervised by the Ministry of Armed Forces (France), French Ministry of Armed Forces. Originally located in the Latin Quarter, Paris, Latin Quarter in central Paris, the institution moved to Palaiseau in 1976, in the Paris-Saclay, Paris-Saclay technology cluster. French engineering students undergo initial military training and have the status of paid Aspirant, officer cadets. The school has also been awarding doctorates since 1985, masters since 2005 and bachelors since 2017. Most Polytechnique engineering graduates go on to become top executives in companies, senior civil servants, military officers, or researchers. List of É ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
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 Engineering. 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 profes ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
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 Statistical classification, classification decision tree, trees; in these tree structures, leaf node, leaves represent class labels and branches represent Logical conjunction, 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 analysis, regression decision tree, trees. More generally, the concept of regression tree can be extended to any kind of object equipped with pairwise dissimilarities such as categorical sequences. Decision trees are among the most popular machine learning algorithms given their intelligibility and simplic ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
Neural Network
A neural network is a group of interconnected units called neurons that send signals to one another. Neurons can be either biological cells or signal pathways. While individual neurons are simple, many of them together in a network can perform complex tasks. There are two main types of neural networks. *In neuroscience, a '' biological neural network'' is a physical structure found in brains and complex nervous systems – a population of nerve cells connected by synapses. *In machine learning, an '' artificial neural network'' is a mathematical model used to approximate nonlinear functions. Artificial neural networks are used to solve artificial intelligence problems. In biology In the context of biology, a neural network is a population of biological neurons chemically connected to each other by synapses. A given neuron can be connected to hundreds of thousands of synapses. Each neuron sends and receives electrochemical signals called action potentials to its conne ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
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 search through a hypothesis space to find a suitable hypothesis that will make good predictions with a particular problem. Even if this 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 one which should be theoretically better. ''Ensemble learning'' trains two or more machine learning algorithms on a specific classification or regression task. The algorithms wi ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] [Amazon] |
