As we all know, with the rapid development of the Internet, various industries and professions have gradually emerged. AI is a major that Chinese college students plan to set up. It can be said that AI is a major that is very important in today's society and also occupies a place. So what courses do we need to learn about AI?
What courses does AI need to learn?
First, you need mathematical foundation: advanced mathematics, linear algebra, probability theory, mathematical statistics and random processes, discrete mathematics, numerical analysis
Secondly, we need the accumulation of algorithms: artificial neural networks, support vector machines, genetic algorithms and other algorithms; Of course, there are also algorithms needed in various fields. For example, you need to study SLAM if you want the robot to navigate and map in the location environment; In short, many algorithms need time accumulation;
Then, you need to master at least one programming language. After all, the implementation of the algorithm still needs programming; If you go deep into hardware, some basic electrical courses are essential;
AI is generally learned only by graduate students. Undergraduate students just skim the water. After all, the basic courses required are too large.
The main fields of AI specialty are: machine learning, introduction to AI (search method, etc.), image recognition, biological evolution, natural language processing, semantic web, game theory, etc. The required pre courses mainly include signal processing, linear algebra, calculus, and programming (preferably with data structure foundation).
AI employment direction and prospect
computer vision
Computer vision is also one of the hottest employment directions in the field of artificial intelligence.
data service
In the era of big data, people's access to information on the Internet has become more diversified. However, because of the large amount of data, the results of people's search may not be accurate enough. With the intervention of artificial intelligence, the calculation of big data will be more in line with the wishes of the searchers, and the search results will be more accurate.
Intelligent education
Online education is booming, and people's learning methods have become more diverse. In addition to offline specific physical education, intelligent education has pushed the way of education to a new height.
machine learning
Machine learning is a more complex employment direction. Its purpose is to let machines learn how to better complete tasks after a large amount of data training. This is also the most complex and core content of AI.
Machine learning requires a higher level of technical personnel. At present, the level of artificial intelligence in the world is still in the stage of weak intelligence. It is really difficult to help machines build neural networks of human brains.
In fact, from the above, I believe you can see that it is not difficult to learn AI well, but in general, you need to have a certain foundation, and there are more employment directions. Of course, if you have more knowledge, you will have more choices.
