14. Let me answer that. I wonder how the landlord is studying at present. \x0d\ At present, artificial intelligence in academic circles is far from "intelligence" in the sense of ordinary people (people who are not engaged in artificial intelligence industry). The main applications are recommendation system, computer vision, natural language processing and so on. \x0d\ Among the domestic university disciplines, the artificial intelligence major closest to the current academic significance is Control Engineering and Science: Pattern Recognition and Intelligent System. But it's not that absolute. Artificial intelligence has developed too fast in recent years. As an undergraduate, you should at least have a good foundation: advanced mathematics (especially differential and derivative), matrix theory (linear algebra), probability and English (all advanced papers are in English). Congratulations on opening the basic talent tree of artificial intelligence after the above completion. \x0d\ Then you can happily find an open class online. It is recommended that cs229 (Professor Andrew Ng of Stanford University) is a deep learning course, and Li Hongyi of Taiwan Province is a machine learning course (Mandarin is more friendly to China people). \x0d\ After the second stage, you should have some basic knowledge of programming and machine learning. Then you can find your own interests. If you want to take computer vision to see Ted Li Feifei's speech, how to teach computers to know pictures, and if you want to take natural language processing, you can also find relevant materials. I am cv (Computer Vision) \x0d\ I can continue nlp (Natural Language Processing) cs23 1 (el, Stanford, Li Feifei) \x0d\ cs224 (Stanford course) \x0d\ It is estimated that three years have passed, and when you see my answer, you may have made your own decision for future generations.