Machine intelligent learning method based on Internet big data

Abstract

The invention relates to the technical field of machine learning, and discloses a machine intelligent learning method based on Internet big data. The method comprises the following steps: S1, data collection; S2, data processing; S3, data storage; S4, data learning; S5, data storage; S6, result predicting; S7, voice image processing. According to the method, the collected data are effectively intercepted, cleaned and filtered, viruses and advertisements generated in big data can be effectively prevented from being brought into machine learning contents, and the filtered data are concluded and integrated, so that the data can be transmitted to a machine more quickly. Meanwhile, the machine can learn various data contents and learn various political expressions and expressions according to unsupervised and supervised learning modes, so that the learning ability and the imitation ability of the machine can be effectively improved, the man-machine interaction effect of the machine can be realized, and the commercial value is improved.

Description

technical field [0001] The invention relates to the technical field of machine learning, in particular to a machine intelligent learning method based on Internet big data. Background technique [0002] Internet big data refers to a collection of data that cannot be captured, managed, and processed by conventional software tools within a certain period of time. It is a massive, high-growth data that requires a new processing model to have stronger decision-making power, insight discovery power, and process optimization capabilities. rate and diversified information assets, and big data is the foundation of artificial intelligence, making big data into knowledge or productivity cannot be separated from machine learning. It can be said that machine learning is the core of artificial intelligence, which is to make machines have human-like intelligence. the fundamental way. [0003] However, in the current process of machine learning, garbage such as advertisements and news in b...

AI Technical Summary

Problems solved by technology

[0003] However, in the current process of machine learning, garbage such as advertisements and news in big data are often brought into the learning content, thereby affecting the internal storage space of the machine, and the memory of a general machine is fixed, other Unable to reasonably use the memory space of the machine, it is necessary to manually delete its content, and it is also impossible to effectively learn new data, and the polite language and expressions in the machine learning process are relatively simple, making the value low

Images