Is it necessary for everyone to learn AI?

There is no need for this, because the threshold for artificial intelligence is too high, and the academic qualifications must at least start as a graduate student, and there are many things to learn, and to engage in artificial intelligence, you need a mathematical foundation: advanced mathematics, linear algebra, probability theory, mathematical statistics and stochastic processes, discrete mathematics, numerical analysis.

The accumulation of algorithms is required: artificial neural networks, support vector machines, genetic algorithms, etc.; Of course, there are algorithms needed in various fields, such as SLAM needs to be studied to allow robots to navigate and map the location environment by themselves; In short, there are many algorithms, which take time to accumulate.

It is necessary to master at least one programming language: after all, the implementation of algorithms still needs to be programmed; If you go deep into hardware, some basic electrical courses are essential.

However, the prospect of artificial intelligence is still possible, it is reported that China is ready to 2020, the overall technology and application of artificial intelligence and the world's advanced level, the artificial intelligence industry has become a new important economic growth point, and the application of artificial intelligence technology has become a new way to improve people's livelihood; By 2025, some technologies and applications will reach the world's leading level, and artificial intelligence will become the main driving force for China's industrial upgrading and economic transformation. By 2030, the theory, technology and application of artificial intelligence will reach the world's leading level, becoming the world's major artificial intelligence innovation center, and achieving remarkable results in the intelligent economy and intelligent society. The popularity of the concept of artificial intelligence has promoted the rise of many industries, such as domain names, many related. The top domain name has been registered.

Everyone can understand it, but not everyone has to go to deep learning.

If you don't want to find that kind of ordinary institution, many institutions are not real artificial intelligence at all, and the cost is expensive, and this technology can only be mastered in the actual operation of the enterprise.

The Artificial Intelligence Center of Jiaotong University is directly to the artificial intelligence companies they cooperate with to learn directly in practice.

The development status of artificial intelligence is in the growth period, and due to the relatively small number of related talents, the talent market for artificial intelligence is vacant, and there is a situation where supply exceeds demand. In addition, the state has issued relevant policies to promote the development of artificial intelligence; Some provinces are also paying more attention to the development of artificial intelligence.

Summary. Artificial intelligence is a new technology outlet, and now everything is set up, which still reflects the impetuous side of higher education to a certain extent. It is exactly the same as the crazy opening of majors such as accounting, law, foreign languages, finance, and biology back then.

It is manifested in the emergence of popular industries and cutting-edge technologies, and immediately open majors with the same name, such as the previous e-commerce, Internet of Things, 3D printing, robotics, intelligent science and technology, and the recent big data, artificial intelligence, and blockchain.

Some of these majors have been proven to be pulling the banner and pulling the tiger's skin, the so-called popular majors are just a patchwork of several disciplines, due to the lack of experience, foundation, teachers, etc., the training model of each school is also very different, and the result is that the students learn a four-like, except for the name can bluff people other has no practical meaning.

Don't learn artificial intelligence.

Artificial intelligence is a new technology outlet, and now everything is set up, which still reflects the impetuous side of higher education to a certain extent. It is exactly the same as the crazy opening of majors such as accounting, law, foreign languages, finance, and biology back then. It is manifested in the emergence of popular industries and cutting-edge technologies, and immediately open majors with the same name, such as the previous e-commerce, Internet of Things, 3D printing, robotics, intelligent science and technology, and the recent big data, artificial intelligence, and blockchain.

Some of these majors have been proven to be pulling the banner and pulling the tiger's skin, the so-called popular majors are just a patchwork of several disciplines, due to the lack of experience, foundation, teachers, etc., the training model of each school is also very different, and the result is that the students learn a four-like, except for the name can bluff people other has no practical meaning.

I like science and I also choose pure science.

What kind of major should I report?

There are a lot of majors, depending on your interests.

But teacher, I don't know what hobbies I have right now [tears] What grade are you, classmate.

Don't worry, you need to analyze, classmate. You say yes, but if you want to hurry, you can't reach it.

In the first year of high school, I chose pure science [agree] and I really like to study science.

Hmmm, first interest in the end, I'm glad you choose what interests you.

If you apply for a major, you will generally be considered in the third year of high school.

But now that you understand, I can tell you about it.

The combination of physics and chemistry in the new college entrance examination is not advantageous for ordinary students, teacher.

It's a bit undominant, mainly because it's difficult, but the employment is pretty good

From voice recognition to smart speakers, from unmanned driving to human-machine battles, in recent years, artificial intelligence has brought surprises to human society again and again.

At present, Chinese artificial intelligence industry.

It is in a period of innovation and development, and the demand for talents is also growing sharply at the same time, according to the big data of the China Business Industry Research Institute, China's artificial intelligence market reached 1.2 billion US dollars in 2015, and the size of China's artificial intelligence market reached 70 billion yuan in 2015, and will reach 160 billion yuan in 2020, which means that in the next few years, the annual growth rate will reach 50%. Surprisingly, the annual salary of fresh graduates in this major can be as high as 30.5 million, but it is still a state of talent gap. The Ministry of Industry and Information Technology has a shortage of more than 5 million talents in education Chinese industrial intelligence.

With the advent of unmanned driving, toll station employees are replaced, smartphones, smart speakers and other devices, everything makes human life more convenient. iFLYTEK has developed physician assistant robots and made great achievements in the field of speech recognition, Alibaba Cloud is building the world's largest artificial intelligence public system, and Tencent is delivering AI medical imaging products to patients, artificial intelligence is an inevitable trend.

If you want to know more about artificial intelligence, we recommend choosing [Danai Education]. The institution has 1v1 supervised follow-up learning communication at any time if you have any questions, enterprise-level projects, courses interspersed with real project explanations of large factories, professional learning plans formulated according to enterprise talent standards, including mainstream hot technologies, theoretical knowledge + learning thinking + practical operation, to create a complete learning closed loop. The institution has practical lecturers, rich experience, a variety of class types for students to choose from, and an original teaching system to meet the diverse learning needs of students.

If you are interested, click here to learn for free.

Artificial intelligence is difficult to learn, artificial intelligence is a relatively esoteric field, is a very challenging science, it is recommended to sign up for professional institutions for professional learning. If you need to learn artificial intelligence, it is recommended to choose [Danai Education], which has a complete teaching and research team in the industry and a strong faculty to ensure the interests of students and ensure their learning in an all-round way. Signed talent training agreements with a number of enterprises to help students better find employment.

The specific learning content of artificial intelligence is as follows:

1. Master the basic configuration of [Python development environment].

2. Master the use of operators, expressions, process control statements, arrays, etc.

4. Initially establish object-oriented programming thinking.

5. Familiar with the basic process and use of exception capture.

6. Master the basic use of classes and objects. If you are interested, click here to learn for free.

If you want to know more about artificial intelligence, we recommend consulting [Danai Education]. The institution has been engaged in IT technology training for 19 years, and has an original teaching system, 1v1 supervision, follow-up learning, and communication at any time if you have questions. The institution's 26 major curriculum systems closely follow the needs of enterprises, enterprise-level projects, and the courses are interspersed with the explanations of real projects of large factories, benchmarking enterprise talent standards, formulating professional learning plans, including mainstream hot technologies, and helping students learn better.

Danai IT training institutions, the trial quota is snapped up for a limited time.

Learning artificial intelligence requires some knowledge of mathematics, some knowledge of programming, some knowledge of image processing, and some knowledge of software, so if you learn these aspects easily, it is not difficult to learn.

It's difficult. At present, the main direction of artificial intelligence is deep learning.

Deep learning is a neural network, which is a black box for network research, and has extremely high mathematical requirements for network research.

Even if it is the second best thing, the technology of artificial intelligence is completed by ordinary spring celery ridge machine learning, which has high requirements for algorithm theory.

Of course, artificial intelligence is not very easy to learn, because this Liang is very high Zen technology, but it is a social development trend, if you learn it, it will not only be good for employment but also have very good development prospects.

It will definitely be difficult at first, but it will not be difficult to enter after a long time.

Artificial intelligence learning is more difficult, you must firmly grasp the knowledge points to be correct, so that you can learn faster.

Artificial intelligence, whether it is difficult to learn or not, varies from person to person, some people think it is simple, some people think it is difficult, that is.

The so-called artificial intelligence is actually a collection of algorithms, databases, sensors, and controllers. Among them, the algorithm is the key.

If you want to enter artificial intelligence, you need strong basic knowledge of mathematics, electronic technology, computer language, and databases, and you must have talent. In short, it is very complicated and boring, and it needs to be supported by strong funds and social environment.

The simpler it is to be careful, then you will be very successful in doing anything.

What subjects do people learn for the intelligent major of pickpockets?

The main courses studied in the Artificial Intelligence major are: Cognitive Psychology, Fundamentals of Neuroscience, Human Memory and Learning, Language and Thinking, Computational Neural Engineering, Artificial Intelligence, Society and Humanities, Philosophical Foundations and Ethics of Artificial Intelligence, Swarm Intelligence and Autonomous Systems, etc.

People who are not suitable for learning artificial intelligence are as follows:

1. Liberal arts students.

The first class of students who are not suitable for studying artificial intelligence-related majors is liberal arts students. In the field of artificial intelligence, it involves more knowledge of computers, information technology, automation and other science and engineering subjects, for liberal arts students, whether it is in the learning process or in the actual operation process, it may be inconvenient, and it is not recommended to apply for the exam.

2. Science students with poor mathematics.

If liberal arts students are not suitable, then science students are suitable? Not! Learning artificial intelligence also requires a fairly strong mathematics major to absorb knowledge, and some science students are not very good at mathematics, and they are also not suitable for artificial intelligence.

In the process of learning artificial intelligence, it is necessary to represent many abstract things through modeling, and also to analyze and design specific aspects of algorithms, which require a very solid mathematical foundation. Moreover, the core of artificial intelligence - machine learning, which is also one of the most mathematically demanding branches of computer science. Therefore, students who have a poor foundation in math orthosignia should not force themselves too much.

3. Insensitive to information technology.

This aspect should be easier to explain, artificial intelligence itself is a set of computer science, mathematics, software design is equal to one of the majors, the mastery of information technology ability is very high, if there is no good strength in computer design, software program design, etc., students who are not sensitive to information technology, it is not recommended to apply for the examination.

Fourth, I can't stand overtime.

In addition to the above limitations in terms of professional strength, there is also a work problem, and at the same time, it is also a very real problem, that is, it is unbearable to work overtime.

Artificial intelligence has just emerged in China, and various studies on it have just started, so it is conceivable that there must be a lot of work to be done in this regard. Once you step into this industry, overtime is definitely indispensable, so if you can't stand overtime, you should also think about it.

Although artificial intelligence can be said to be a class of majors with great potential in China, and the popularity and employment in the next few years are also very considerable, the above types of students are still not very suitable.

Ordinary people can teach themselves artificial intelligence. But it is very difficult, and you need to report a class manuscript to learn well. Because artificial intelligence is getting better and better, if ordinary people are interested, they can also learn through some ** or online classes.

Of course, if a person is particularly interested in life, he can go to study, or he can wait to receive relevant education, and finally he can become a pillar of the country and a talent for travel.

Ordinary people can teach themselves artificial intelligence. Because there are many courses related to artificial intelligence, you can learn online.