Apache SystemML
Apache SystemDS (Previously, Apache SystemML) is an open source ML system for the end-to-end data science lifecycle. SystemDS's distinguishing characteristics are: # Algorithm customizability via R-like and Python-like languages. # Multiple execution modes, including Standalone, Apache Spark, Spark Batch, Apache Spark, Spark MLContext, Apache Hadoop, Hadoop Batch, and JMLC. # Automatic optimization based on data and cluster characteristics to ensure both efficiency and scalability. History SystemML was created in 2010 by researchers at the IBM Almaden Research Center led by IBM Fellow Shivakumar Vaithyanathan. It was observed that data scientists would write machine learning algorithms in languages such as R (programming language), R and Python (programming language), Python for small data. When it came time to scale to big data, a systems programmer would be needed to scale the algorithm in a language such as Scala (programming language), Scala. This process typically involved ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
|
Apache SystemDS Logo
The Apache ( ) are several Southern Athabaskan language-speaking peoples of the Southwestern United States, Southwest, the Southern Plains and Northern Mexico. They are linguistically related to the Navajo. They migrated from the Athabascan homelands in the north into the Southwest between 1000 and 1500 CE. Apache bands include the Chiricahua, Jicarilla Apache, Jicarilla, Lipan Apache people, Lipan, Mescalero, Mimbreño Apache, Mimbreño, Salinero Apaches, Salinero, Plains Apache, Plains, and Western Apache (San Carlos Apache Indian Reservation, Aravaipa, Pinaleño Mountains, Pinaleño, Fort Apache Indian Reservation, Coyotero, and Tonto Apache, Tonto). Today, Apache tribes and Indian reservation, reservations are headquartered in Arizona, New Mexico, Texas, and Oklahoma, while in Mexico the Apache are settled in Sonora, Chihuahua, Coahuila and areas of Tamaulipas. Each Native American tribe, tribe is politically autonomous. Historically, the Apache homelands have consisted of ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
|
R (programming Language)
R is a programming language for statistical computing and Data and information visualization, data visualization. It has been widely adopted in the fields of data mining, bioinformatics, data analysis, and data science. The core R language is extended by a large number of R package, software packages, which contain Reusability, reusable code, documentation, and sample data. Some of the most popular R packages are in the tidyverse collection, which enhances functionality for visualizing, transforming, and modelling data, as well as improves the ease of programming (according to the authors and users). R is free and open-source software distributed under the GNU General Public License. The language is implemented primarily in C (programming language), C, Fortran, and Self-hosting (compilers), R itself. Preprocessor, Precompiled executables are available for the major operating systems (including Linux, MacOS, and Microsoft Windows). Its core is an interpreted language with a na ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
|
Java Platform
Java is a set of computer software and specifications that provides a software platform for developing application software and deploying it in a cross-platform computing environment. Java is used in a wide variety of computing platforms from embedded devices and mobile phones to enterprise servers and supercomputers. Java applets, which are less common than standalone Java applications, were commonly run in secure, Sandbox (computer security), sandboxed environments to provide many features of native applications through being embedded in HTML pages. Writing in the Java (programming language), Java programming language is the primary way to produce code that will be deployed as Java byte code, byte code in a Java virtual machine (JVM); byte code compilers are also available for other languages, including Ada (programming language), Ada, JavaScript, Kotlin (programming language), Kotlin (Google's preferred Android language), Python (programming language), Python, and Ruby (p ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
|
Software Using The Apache License
Software consists of computer programs that instruct the execution of a computer. Software also includes design documents and specifications. The history of software is closely tied to the development of digital computers in the mid-20th century. Early programs were written in the machine language specific to the hardware. The introduction of high-level programming languages in 1958 allowed for more human-readable instructions, making software development easier and more portable across different computer architectures. Software in a programming language is run through a compiler or interpreter to execute on the architecture's hardware. Over time, software has become complex, owing to developments in networking, operating systems, and databases. Software can generally be categorized into two main types: # operating systems, which manage hardware resources and provide services for applications # application software, which performs specific tasks for users The rise of clo ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
|
Apache Software Foundation Projects
The Apache ( ) are several Southern Athabaskan language-speaking peoples of the Southwest, the Southern Plains and Northern Mexico. They are linguistically related to the Navajo. They migrated from the Athabascan homelands in the north into the Southwest between 1000 and 1500 CE. Apache bands include the Chiricahua, Jicarilla, Lipan, Mescalero, Mimbreño, Salinero, Plains, and Western Apache ( Aravaipa, Pinaleño, Coyotero, and Tonto). Today, Apache tribes and reservations are headquartered in Arizona, New Mexico, Texas, and Oklahoma, while in Mexico the Apache are settled in Sonora, Chihuahua, Coahuila and areas of Tamaulipas. Each tribe is politically autonomous. Historically, the Apache homelands have consisted of high mountains, sheltered and watered valleys, deep canyons, deserts, and the southern Great Plains, including areas in what is now Eastern Arizona, Northern Mexico (Sonora and Chihuahua) and New Mexico, West Texas, and Southern Colorado. These ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
|
Hadoop
Apache Hadoop () is a collection of Open-source software, open-source software utilities for reliable, scalable, distributed computing. It provides a software framework for Clustered file system, distributed storage and processing of big data using the MapReduce programming model. Hadoop was originally designed for computer clusters built from commodity hardware, which is still the common use. It has since also found use on clusters of higher-end hardware. All the modules in Hadoop are designed with a fundamental assumption that hardware failures are common occurrences and should be automatically handled by the framework. Overview The core of Apache Hadoop consists of a storage part, known as Hadoop Distributed File System (HDFS), and a processing part which is a MapReduce programming model. Hadoop splits files into large blocks and distributes them across nodes in a cluster. It then transfers JAR (file format), packaged code into nodes to process the data in parallel. This appro ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
|
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]   |
|
Cluster Computing
A computer cluster is a set of computers that work together so that they can be viewed as a single system. Unlike Grid computing, grid computers, computer clusters have each Node (networking), node set to perform the same task, controlled and scheduled by software. The newest manifestation of cluster computing is cloud computing. The components of a cluster are usually connected to each other through fast local area networks, with each Node (networking), node (computer used as a server) running its own instance of an operating system. In most circumstances, all of the nodes use the same hardware and the same operating system, although in some setups (e.g. using Open Source Cluster Application Resources (OSCAR)), different operating systems can be used on each computer, or different hardware. Clusters are usually deployed to improve performance and availability over that of a single computer, while typically being much more cost-effective than single computers of comparable s ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
|
Comparison Of Deep Learning Software
The following tables compare notable software frameworks, libraries, and computer programs for deep learning applications. Deep learning software by name Comparison of machine learning model compatibility See also * Comparison of numerical-analysis software * Comparison of statistical packages * Comparison of cognitive architectures *List of datasets for machine-learning research *List of numerical-analysis software Listed here are notable end-user computer applications intended for use with numerical or data analysis: Numerical-software packages * Analytica is a widely used proprietary software tool for building and analyzing numerical models. It is a de ... References {{reflist, 33em * Deep learning frameworks ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
|
Euclidean Distance
In mathematics, the Euclidean distance between two points in Euclidean space is the length of the line segment between them. It can be calculated from the Cartesian coordinates of the points using the Pythagorean theorem, and therefore is occasionally called the Pythagorean distance. These names come from the ancient Greek mathematicians Euclid and Pythagoras. In the Greek deductive geometry exemplified by Euclid's ''Elements'', distances were not represented as numbers but line segments of the same length, which were considered "equal". The notion of distance is inherent in the compass tool used to draw a circle, whose points all have the same distance from a common center point. The connection from the Pythagorean theorem to distance calculation was not made until the 18th century. The distance between two objects that are not points is usually defined to be the smallest distance among pairs of points from the two objects. Formulas are known for computing distances b ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
|
DBSCAN
Density-based spatial clustering of applications with noise (DBSCAN) is a data clustering algorithm proposed by Martin Ester, Hans-Peter Kriegel, Jörg Sander, and Xiaowei Xu in 1996. It is a Cluster analysis#Density-based clustering, density-based clustering non-parametric algorithm: given a set of points in some space, it groups together points that are closely packed (points with many Fixed-radius near neighbors, nearby neighbors), and marks as outliers points that lie alone in low-density regions (those whose nearest neighbors are too far away). DBSCAN is one of the most commonly used and cited clustering algorithms. In 2014, the algorithm was awarded the Test of Time Award (an award given to algorithms which have received substantial attention in theory and practice) at the leading data mining conference, ACM SIGKDD. , the follow-up paper "DBSCAN Revisited, Revisited: Why and How You Should (Still) Use DBSCAN" appears in the list of the 8 most downloaded articles of the presti ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |
|
Principal Component Analysis
Principal component analysis (PCA) is a linear dimensionality reduction technique with applications in exploratory data analysis, visualization and data preprocessing. The data is linearly transformed onto a new coordinate system such that the directions (principal components) capturing the largest variation in the data can be easily identified. The principal components of a collection of points in a real coordinate space are a sequence of p unit vectors, where the i-th vector is the direction of a line that best fits the data while being orthogonal to the first i-1 vectors. Here, a best-fitting line is defined as one that minimizes the average squared perpendicular distance from the points to the line. These directions (i.e., principal components) constitute an orthonormal basis in which different individual dimensions of the data are linearly uncorrelated. Many studies use the first two principal components in order to plot the data in two dimensions and to visually identi ... [...More Info...]       [...Related Items...]     OR:     [Wikipedia]   [Google]   [Baidu]   |