What is the basis of learning artificial intelligence? Suggestions on computer training First of all, the main contents of artificial intelligence research include: knowledge representation, automatic reasoning and search methods, machine learning and knowledge acquisition, knowledge processing system, natural language understanding, computer vision, intelligent robots, automatic programming, etc., which have played a prominent role in our education, science, military, economic and other fields.
Looking at the research field of artificial intelligence, the corresponding technologies in different fields may be different, but the basis of learning artificial intelligence may be roughly the same. So what basis does it need to learn artificial intelligence? For example, we need mathematical foundations: advanced mathematics, linear algebra, probability theory, mathematical statistics and stochastic processes, discrete mathematics, and numerical analysis.
What is the basis of learning artificial intelligence? You also need to have a programming foundation. The realization of artificial intelligence can not be separated from algorithm statistics in various fields, and the realization of algorithm depends on programming, and the learning of programming needs a little English foundation and computer foundation. According to this calculation, if you want to learn artificial intelligence, you have a lot of basic knowledge to master. Can't you learn artificial intelligence without these knowledge reserves? Of course not.
I just suggest that friends who don't have these basic knowledge carefully choose to teach themselves artificial intelligence. At present, a better choice for learning artificial intelligence is to participate in artificial intelligence training. If you lack a professional artificial intelligence training teacher to give you advice, then you don't need to have too much psychological burden. Follow the professional artificial intelligence training teacher and learn step by step.