Mathematical ML refers to machine learning technology in the field of mathematics, which uses mathematical methods and statistical principles to perform tasks such as data analysis, model fitting and prediction. Mathematical ML can be applied to various fields, such as finance, medical care, e-commerce and so on. , and can help people better understand the laws and trends behind the data, and promote the intelligence and optimization of decision-making.

There are many scenarios in the practical application of mathematical ML. For example, in the financial field, mathematical ML can be used to predict and analyze the market and reduce the investment risk. In the medical field, mathematical ML can be used to diagnose diseases, make treatment plans and improve medical level. In the field of e-commerce, mathematical ML can be used to make personalized recommendation and precise marketing for users, so as to enhance the user experience.

With the continuous development of Internet and big data, the application scope and development difficulty of mathematical ML are also expanding. In the future, mathematical ML will be more widely used in various fields, especially with the advancement of artificial intelligence, automation and other technologies, the development prospect of mathematical ML is limitless. At the same time, people will also need more professional and excellent mathematical ML experts to help them complete data analysis and decision support tasks.