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Lambda architecture depends on a data model with an append-only, immutable data source that serves as a system of record. [ 2 ] : 32 It is intended for ingesting and processing timestamped events that are appended to existing events rather than overwriting them.
In computing, a pipeline or data pipeline [1] is a set of data processing elements connected in series, where the output of one element is the input of the next one. The elements of a pipeline are often executed in parallel or in time-sliced fashion. Some amount of buffer storage is often inserted between elements. Computer-related pipelines ...
spaCy (/ s p eɪ ˈ s iː / spay-SEE) is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython. [3] [4] The library is published under the MIT license and its main developers are Matthew Honnibal and Ines Montani, the founders of the software company Explosion.
Orange - An open-source, visual programming tool for data mining, statistical data analysis, and machine learning. Oz now also distributed since 1.4.0; Pipeline Pilot; Prograph; Pure Data; Quartz Composer - Designed by Apple; used for graphic animations and effects; SAC Single assignment C
Automated machine learning (AutoML) is the process of automating the tasks of applying machine learning to real-world problems. It is the combination of automation and ML. [1] AutoML potentially includes every stage from beginning with a raw dataset to building a machine learning model ready for deployment.
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 ...
Lambda lifting is a meta-process that restructures a computer program so that functions are defined independently of each other in a global scope.An individual "lift" transforms a local function into a global function.
The systolic array paradigm with data-streams driven by data counters, is the counterpart of the Von Neumann architecture with instruction-stream driven by a program counter. Because a systolic array usually sends and receives multiple data streams, and multiple data counters are needed to generate these data streams, it supports data parallelism.