Generally speaking, data mining refers to the process of automatically finding information hiding special relationships from a large number of data. Data mining is usually related to computer science, and the above objectives are achieved through statistics, online analytical processing, information retrieval, machine learning, expert system and pattern recognition.

Mathematical modeling is to use mathematical methods to solve practical application problems. Mathematical modeling is the core content of applied subject. Any science expresses its own ideas and methods of solving problems under the framework of mathematics, and shares these ideas and methods with other majors or directions. When a practical problem needs to be studied and analyzed quantitatively, people should establish a mathematical model through mathematical language and symbols on the basis of investigation, understanding of object information, making simplified assumptions and analyzing internal laws.

If you are in doubt about the study of data mining, recommend the course of CDA data analyst. The course requires students to make comprehensive judgments according to business scenarios, gain insight into data rules, use correct data cleaning and feature engineering methods, and comprehensively apply statistical analysis methods, statistical models, operational research, machine learning and text mining algorithms, rather than a single machine learning algorithm. Really put forward feasible value schemes for enterprises and value business achievements. Click to make an appointment for a free audition class.