The future development prospects of artificial intelligence

Nowadays, whether they are studying abroad or studying abroad, many students are focusing on artificial intelligence. Of course, there are also students who will naturally consider data science majors when they see data science. Let’s talk about the future development prospects of artificial intelligence.

When it comes to artificial intelligence, we must first understand the concept of data science: a scientific discipline, not an engineering. Combined with professional issues, such as medical, railway, finance, etc.

1. Computers are the foundation of data science. Preliminary data processing to generate some models and algorithms must have strong computer skills. Computer basics must be compulsory.

2. Be strong in mathematics and statistics. Knowledge of mathematics and statistics must be solid. The third point is that a good data scientist must be an industry expert. When it comes to models, how to communicate with bosses or customers so that the other party or people who do not understand data science or statistics can understand. Data science is a very complex science.

Therefore, the relationship between data science and artificial intelligence is not a subordinate relationship.

Data science is mainly about intercepting a small piece of big data for analysis and making a data model. Data science is not about doing big data in the early stage.

Artificial intelligence has been around ten years ago, but it is only now popular. Ten years ago, there was not enough data and insufficient technical support. Ten years ago, computing power was not good enough.

With the development of the entire technology, the cloud market is slowly developing. For example, Amazon, Microsoft, and Google are all developing their own cloud markets. MACHINE LEARNING is a branch of artificial intelligence and data science, such as visual science.

Research Scientist is basically the main choice for PHD. It is very difficult to get into the field of product development and paper publishing.

Suggestions for freshmen studying artificial intelligence and data science:

Freshmen should lay a solid foundation, be good at mathematics and other statistics, ensure a good GPA, and accumulate some professional knowledge. Experience is better than LinkedIn, and then start preparing for a summer internship. Programming languages ??are related to the field in which they are engaged, and each field is different.

I am currently preparing to go to the United States to study for graduate school. My undergraduate degree is in electronic information engineering, and my research direction involves data science. What kind of courses can I study on my own at this stage?

It mainly depends on the undergraduate EE background. It mainly involves some things, some are very mathematical, some are more computer-oriented, and some have no mathematics or computer at all. It is recommended that you have a background in mathematics and statistics, take a computer algorithm course and a basic language course, and then take the remaining courses in the United States.

Interpretation of employment data for artificial intelligence majors in the United States in the second half of 2017:

In October 2017, Glassdoor, the top five recruitment website in the United States, provided a set of relevant data.

There are 512 open AI and deep learning jobs on Glassdoor, accounting for 0.009% of the US jobs developed on Glassdoor.

Most companies are recruiting software engineers and data scientists.

However, the rise of artificial intelligence in the workplace has also brought about many roles in technical sales, business development, product management, user experience design, etc.

In terms of companies currently recruiting AI talents, technology giants such as Amazon, NVIDIA and Microsoft are leading the way. However, increasingly, employers in the financial services, consulting and government sectors are also becoming major employers of AI talent.

While the list of industries using AI continues to grow, the majority of open AI jobs today are still located in a few metropolitan areas: Silicon Valley, San Francisco, Seattle, Boston, Los Angeles, and New York City.

Salaries for artificial intelligence positions vary from position to position, but are generally on the higher side.

The annual basic salary for the lowest-paying positions is estimated to be between US$20,000 and US$40,000, while the annual basic salary for the highest-paying AI positions is estimated to be between US$240,000 and US$260,000

Many unexpected AI-related jobs are now being formed, replacing old jobs eliminated through AI and automation. Including AI writers and lawyers on the AI ??team.

The most common AI job position is software engineer, accounting for 11% of online job opportunities. This is followed by data scientists (4%), software development engineers (4%) and research scientists (4%), among others.

Top AI jobs open in the United States

With the support of the above employment data, you must already know whether it is worthwhile to study artificial intelligence and data science in the United States. .