Big data machine learning system and method

Abstract

The present invention discloses a big data machine learning system and method. The system comprises a power source, a controller, model training, and a data feedback module; the model training comprises an evaluation system and a test sample; the evaluation system comprises an indicator evaluation module and a visual evaluation module; the test sample is connected with sample collection; the sample collection is connected with external data; the controller is connected with a sensor; the sensor is connected with a browsing module; the data feedback module is connected with a data processing module and a filtering module; the filtering module comprises an amplifying module and a reading and writing module; and the data processing module comprises a data storage module, a data transmission module, a converter, and a data collection module. According to the technical scheme of the present invention, the development and deployment efficiency of standardized big data is improved, and a simple and unified interface can be provided, so that modular operations can be implemented in algorithm development, application development and architecture development.

Description

technical field [0001] The invention relates to the technical field of big data, in particular to a big data machine learning system and method. Background technique [0002] The technical solution of the machine learning algorithm model based on big data in the existing technology is very complicated, and the technical level of the design covers distributed computing, architecture deployment, model computing, data development, etc., and it takes a lot of manpower and material resources to complete. The process requires frequent mutual access operations with the file system, which greatly reduces the performance of the entire system, resulting in reduced reliability of modeling, prediction, and applications, and more importantly, it will lead to programming flexibility, ease of maintenance, code or The reusability of components is greatly affected, thus resulting in a poor user experience. Contents of the invention [0003] The technical problem to be solved by the presen...

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Problems solved by technology

[0002] The technical solution of the machine learning algorithm model based on big data in the existing technology is very complicated, and the technical level of the design covers distributed computing, architecture deployment, model computing, data development, etc., and it takes a lot of manpower and material resources to complete. The process requires frequent mutual access operations with the file system, which greatly reduces the performance of the entire system, resulting in reduced reliability of modeling, prediction, and applications, and more importantly, it will lead to programming flexibility, ease of maintenance, code or The reusability of components is greatly affected, thus resulting in a poor user experience

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