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Why is the wage in the artificial intelligence industry so high?

Whether it is a research institute, a business giant or a start-up enterprise, all walks of life are vigorously developing or introducing artificial intelligence. Due to insufficient reserves, artificial intelligence talents are now in a gap, and it is very huge.

According to LinkedIn's global AI field technical talent distribution map, China's current AI talent gap is more than 50,000. The shortage of talents has led to the fact that the salary of the field positions has naturally risen.

Many people, especially recent graduates and programmers who just started working, want to stand out in this AI boom with strength and resume. However, many people have been brushed off by HR at the first level, let alone technical.

I think everyone knows why.

The current artificial intelligence does not have an in-depth AI major for undergraduates. After all, these directions belong to high-level knowledge and require a certain foundation. Although there is still a strong demand for talents in the industry due to the current AI fever, universities have begun to specialize in AI and data science.

However, the skills that these students have after graduation and the standards of talent required by the company are not equal.

Such as BAT's artificial intelligence department; college artificial intelligence research related work; star startup companies, such as Si Xiaolong, Shang Tang, Mineral World, HKUST and so on. If you have only studied computer science, it is not so easy to enter these companies or institutions. Because you have no practical projects, you have no overall control and learning about artificial intelligence.

And if your school background is not tough (Tsinghua University, China University of Science and Technology, etc.), don't even expect the offer of these companies.

But does this mean that you have no chance?

Do not. At least you also have the right and ability to learn.

You can teach yourself or follow an expert tutor in this area.

For the problem of getting started artificial intelligence, many students are eager to try. In fact, the core of artificial intelligence is Machine Learning and deep learning. The basis of them is programming (Python/c++, etc.) and mathematics (higher mathematics/linear algebra/probability theory, etc.).

In addition, AI is the execution of logic algorithms, and the underlying architecture is big data. So how does artificial intelligence become more powerful? Feed it to "eat" big data. Big data is like artificial intelligence. Like humans, the fresher and cleaner the food you eat, the healthier your artificial intelligence.

So if you want to enter this field, you need to go through at least the following four stages of study.

The first stage: programming

Getting started with python / python basic data type / python web crawler

The second stage: data mining

Linear regression / Bayesian statistics / Airbnb data analysis

The third stage: machine learning

Getting Started with Machine Learning / Enhancing Getting Started / Machine Learning

The fourth stage: deep learning

Neural network, convolutional neural network/recurrent neural network, image style migration

Hundreds of class hours of study are basic, but if you really want to learn, you need at least some time. Of course, it will vary according to each person's foundation, and you can't rule out that you can get it in a short time.

If you want to invest in the arms of AI, but you do not know how to start. And when you are ready to learn machine learning and deep learning, you will be scared by the expensive training courses outside, you can also choose to become a student of this artificial education in Wanmen University.