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At present a number of machinery factories select cutting parameters mainly rely on the experience in China. In order to get the reasonable cutting parameters and then have a optimal machining surface quality, high production efficiency and low production cost. In this paper, using genetic algorithm and Matlab software [1] to optimize cutting parameters of milling and combining with the actual cutting test in factory to verify the optimized data. And then provide theory basis and feasible measure for milling.

In the continuous development of Chinese enterprises, the ability to use reasonable and scientific marketing strategies is directly related to the economic benefits and social development of the whole enterprise and even society. This paper explains the importance of standardized enterprise marketing strategies based on machine learning, and on the basis of grasping the characteristics of large capacity, variety, fast flow, and high value of big data, this paper outlines and analyzes the problems that generally exist in China’s enterprises in machine learning-based marketing, so as to provide improvement ideas for measures to improve enterprise marketing and provide benchmarks for enterprise promotion, in order to achieve a market economy based on machine learning, maximize the overall benefits, and achieve healthy development.