Have you fallen into the two major misunderstandings of learning artificial intelligence?
There are two misunderstandings for many people when it comes to learning artificial intelligence.
One is cognitive misunderstanding, most people overestimate the academic threshold of artificial intelligence and the difficulty of learning. For example, some students feel that my own mathematical foundation is poor and my programming foundation is also poor, so I spend a lot of time in the early stage to gnaw books to learn a lot of this basic theory. As I said in my previous video, your undergraduate level of math knowledge is completely sufficient. And it takes two to three weeks to learn Python for programming.
The learning of artificial intelligence is mainly some machine learning, deep learning these contents, and these basic knowledge can be completely completed through project practice.
Another is about the academic threshold. In my past class, the proportion of undergraduates was actually more than that of graduate students, and there were more ordinary colleges than some first-class universities, but the employment rate in my class could still reach more than 90%. So do you think it's a high level of academic qualifications? Not really.
Another is the misunderstanding about learning, many students do not understand the learning method, self-study for half a year, or stay in the basic stage. So I doubt myself, going straight from getting started with AI to giving up. You say that you don't use a correct learning route, of course, it is very difficult to learn.
AI is a strong practical discipline, you have to apply the theoretical knowledge you have learned to practice in a timely manner, and connect the knowledge points through complete practical projects, and the project experience you have accumulated is the most critical element of job search success.
In addition, about the learning of artificial intelligence, find a teacher with practical experience, who can answer your questions at any time in the process of learning, which is far more efficient than your own exploration.
So come directly to my live broadcast room at eight o'clock tonight. If you have any confusion about learning artificial intelligence, you can ask Xiao Zhu teacher Lian Mai.
