? On June 8th last year165438+1October 8th, IDG released the salary survey report of China Quasi-unicorn Company. In this report, there is a statistical data about the salary in the field of artificial intelligence, and it is found that the average salary premium of artificial intelligence is as high as 55%- 1 10%.
? Moreover, at that time, IDG predicted that the talent competition in the artificial intelligence industry would reach a white-hot level in 20 18 years. I even saw the high-paying list of 20 18 schools circulating on the Internet. Companies in the artificial intelligence industry offer graduates an annual salary of 250,000 yuan, and also say that this is only the "cabbage price", which shows that enterprises are eager for AI talents.
For practitioners in the field of artificial intelligence, the high salary given by enterprises is only one aspect of attraction. In fact, what they value more is that their research results can be applied to specific scenes.
Will promote the development of industry and industry. If there is no chance to enter the enterprise, a high-quality exchange learning platform is also a good choice. In these platform communities, everyone can participate in competitions, open source projects, and even have the opportunity to share technology with enterprises, so that the combination of big data, AI industry and real economy can bring changes to everyone's life and realize their own life value. Since the topic is about the communication community in the field of big data and artificial intelligence, I will take a few interesting platforms to talk to you:
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? The first is the JDD Space Station, a digital explorer community recently built by JD.COM Group and JD Finance, which is the closest to this industry in China. What attracts me is its positioning, which is the community closest to the industry in China. Activities with JD.COM characteristics, such as financial technology, supply chain finance, and smart city, are gathered in JDD Space Station. You can have data and AI competitions, open source projects and enjoy data on the space station. At the same time, "JDD Space Station" will also provide a list of influences officially certified by JDD. For the top explorers in the list, such as competition winners and contributors of high-quality content or data, JD.COM Group and JD Finance can help them build a bridge of academic resources. For example, recommend excellent papers to international academic conferences such as KDD (Annual Meeting of Data Mining Research Field) and IJCAI (International Joint Conference on Artificial Intelligence); Of course, you can also participate in the annual JDD conference, get more exposure opportunities for individuals and teams, and get in touch with industry big coffee. In addition, in order to build a digital explorer community closest to the industry in China, digital explorers who have achieved excellent results in the JDD Space Station competition will have the opportunity to communicate with investors and enterprises and open up more development space.
? Secondly, it recommends Kaggle, a foreign technical exchange community. Established on 20 10, this platform mainly provides a platform for developers and data scientists to hold machine learning competitions, host databases, and write and share codes. This platform is amazing. It has been acquired by Google. The questions on this platform have bonuses, and of course they are not so easy to get, because many of the above questions are difficult problems in the industry, and they are more inclined to apply machine learning, which is more weighty in data science. Many participants in Kaggle have never won a competition or won a prize, but this does not affect people's love for this platform, because programmers themselves can get very good personal promotion in the competition. Each competition has its own discussion board and winners' briefing, and experts in Kaggle Forum answer very professionally, which is a good technical community.
? Third, recommend LeetCode in Mianba concentration camp. I believe that programmers who do artificial intelligence have brushed LeetCode before the interview. No, I believe that ordinary programmers also have a large number of people to brush LeetCode. At present, there are more than 800 questions on Leetcode, which are divided into three levels: simple, intermediate and difficult. I personally brushed more than 100 questions, and it is not enough to beat 80-90% of my opponents in the same language. Of course, according to the rules of brushing, it is very likely that I will really come last. Very exciting. Topics are roughly divided into two categories: basic algorithms and programming problems. The former can cultivate your understanding and training of the most basic algorithm ideas; The latter is a system test of your programming. If you are not careful, there will be several situations that will make you feel overwhelmed. In a word, LeetCode is very useful for testing and improving the algorithm. It is also suitable for programmers with less project experience to brush more questions, which is very useful for getting an offer in the interview.