Machine learning-based system and learning method

Abstract

The invention discloses a machine learning-based system and a learning method. The system includes a data management module, a data conversion module, an algorithm training module, a result evaluationmodule and a model prediction module. According to the learning method, the data management module automatically determines the data type of a data source uploaded by a user and preprocesses the data; the user labels the data; the data conversion module substitutes the preprocessed data into a feature conversion algorithm set to obtain feature-converted data; the algorithm training module automatically substitutes the feature-converted data into a classification, clustering, or regression algorithm for batch training so as to obtain a batch of classification, clustering, or regression models;the result evaluation module evaluates the standard indicators of the above models so as to obtain an optimal model; and the model prediction module predicts the latest data source with the optimal model. The system can automatically perform batched data processing and algorithm training, manual intervention in an intermediate process is not required, and therefore, the threshold of learning is decreased, and efficiency can be improved.

Description

technical field [0001] The present invention relates to the field of computer information technology, in particular to a system and a learning method based on machine learning. Background technique [0002] With the rapid development of information technology, especially the application of cloud computing and big data technology, the core competitiveness of all walks of life in the future largely depends on the speed and ability to convert data into information and knowledge, and this conversion Speed ​​and capacity depend on the level of data analysis, mining and application. With the continuous emergence of emerging financial formats such as mobile payment and Internet finance, customer-centric service models that enhance user experience will become an important development direction for future development. The application of big data technology can grasp the effective information of customers and business in many aspects, and comprehensively analyze the assets and liabil...

AI Technical Summary

Problems solved by technology

[0003] Currently known machine learning systems include Ali machine learning platform, Baidu machine learning platform, and Tencent machine learning platform. Components (data, sampling, conversion, algorithm, analysis, etc.), the entire machine learning process is defined by the developer himself, and this process is difficult for people who do not understand machine learning to get started quickly, and even requires professional machine learning. learning and training

In the process design process, it is also necessary to configure multiple processing methods. The process is cumbersome and the evaluation is complicated. It is impossible to quickly and effectively obtain the optimal method to solve practical problems.

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