This is a problem that many students will face. I will talk about my personal suggestions based on the learning and scientific research characteristics of artificial intelligence technology.
First of all, the threshold of research and development in the field of artificial intelligence is still relatively high. During the undergraduate period, we should pay attention to accumulating mathematics-related knowledge, which will have a very direct impact on the independent innovation ability in the later period.
Machine learning is the key to open the door of artificial intelligence. We can start with the classic machine learning algorithm, master the basic process of machine learning, and then use machine learning in combination with specific scenarios. This process can not only improve our understanding of machine learning, but also exercise our own programming ability.
Machine learning is a big family. After mastering the classic machine learning algorithm, you can further learn deep learning and strengthen learning-related knowledge. If you can find your own focus, you will have the opportunity to make some innovative achievements during your undergraduate course, which will have a very positive impact on the follow-up graduate school and have a direct impact on applying for a prestigious foreign school.
Learning artificial intelligence-related knowledge requires relatively high scenes. After accumulating a certain foundation, it is recommended to participate in the research group related to artificial intelligence, so that there will not only be a better experimental scene, but also a communication scene, which can save a lot of detours.
There are many subdivision research directions in the field of artificial intelligence. At present, NLP and CV are hot, and there are many related research groups. You can choose the specific direction according to your own interests and the scientific research resources of our school.
During the undergraduate course, when choosing the direction, it is not recommended to choose some unpopular research directions. It is suggested to choose fields with rich scientific research achievements and clear innovation veins, such as recommendation system, which is a good choice.
The field of artificial intelligence is a field with frequent innovations, and artificial intelligence will lead the innovation trend in scientific research and industry for a long time to come. Therefore, we should always pay attention to the latest innovations, which may open up some new innovation space. If we can seize the opportunity, we can make some achievements more easily, but the speed must be fast. As the saying goes, the martial arts in the world are only fast and unbreakable.
At present, I have jointly established a technical forum with the tutors of many domestic and foreign universities and enterprise tutors of Internet giants, and have been continuously carrying out scientific research practice, project practice and sharing the latest scientific research achievements, among which artificial intelligence and robots are the key areas of concern. Interested students can contact me to apply for participation, and I believe they will gain something.
Finally, if you have any learning and scientific research problems related to artificial intelligence, or need my help, please feel free to communicate with me.