Artificial intelligence has been paid more and more attention, and the number of people who want to learn artificial intelligence is gradually increasing. However, it must be said that the learning threshold of artificial intelligence is relatively high, and many boring and difficult courses need to be studied.

1) statistics

One of the compulsory courses, including regression analysis, parameter test, etc. There is no doubt that statistics is boring, and it is very easy to forget without combining with reality.

2) calculus+linear algebra

To understand many artificial intelligence algorithms, you need to learn calculus and linear algebra, otherwise you don't know how the related algorithms are derived.

3) Computer

On the one hand, it is what we usually call programming, and Python is the most commonly used language at present. Data mining, machine learning and deep learning can be carried out through various packages. Of course, besides Python, you can also learn the R language. On the other hand, if you want to enter the field of data analysis, then SQL is also a language you have to learn. At present, it is the era of big data, and most of the data is stored in the database. If you need to extract data from the database, you must rely on SQL. Of course, if you want to deal with some big data, you need to know Hive, Impala and other knowledge.

4)PPT & amp； be good at

If you want to take root in the field of data analysis, even in the field of artificial intelligence, Excel and PPT must be learned. As the most commonly used tools in work, many work scenes need them. The study of these two tools can go to Netease Cloud Classroom to search for related courses.