*2.4. Application of Machine Learning in Real-World Problem Solving*

Artificial intelligence (AI) is a relatively new trend in science that wants to bring about fundamental changes in people's lives. AI is a little challenging to define, but it can be said that it combines different sciences to make machines more intelligent. One of the most popular subfields of artificial intelligence is machine learning, which is hotly debated. Everyone feels the impact of the learning machine every day in daily life. Simply machine Learning is a science that teaches machines how to learn new things from themselves. Machine learning is one of the modern human inventions that has contributed to the progress of various industries and businesses and has also been very influential in the individual lives of human beings [27]. Machine learning is a subset of artificial intelligence that focuses on learning from the database to build intelligent computer systems. At present, machine learning has been used in various fields and industries. For example, machine learning has been used to diagnose and treat diseases [28], image processing [29], classification [30], and more. Support vector regression can be used in many areas, such as dynamic response prediction of magnetorheological elastomer base isolator [31], thermal spring back of hot press forming [32], text classification [33], etc.
