What about Greedy Academy Artificial Intelligence? Recently, I want to study.

I think it's okay. The reputation of the greedy college in China in recent years is still very good, I was introduced by a friend, I learned during the epidemic last year, in fact, I was learning Jingdong NLP course at that time, with the attitude of giving it a try, I thought that if it was not good, it would be a big deal and not learn, anyway, there was no loss at home, in the process of learning, I slowly liked this course.

The reason why I stick to it is that the practical projects in the course have helped me a lot and broadened my thinking, from business, data processing, modeling to the final deployment of the whole process experience, through practical operation, not only to solve the business problems, but also to test and review the content I have learned.

Summary: Everyone's learning goals and demands are different, if you want to learn, then it is recommended to take the initiative and actively explore and absorb knowledge; If you think you can learn by reading a book, you don't need to go to an institution.

When I was abroad, I listened to my friends talk about the greedy college, and after returning to China, I entered an e-commerce company, and I was very hesitant to sign up for the JD NLP course, after all, I have a certain foundation, and the current job competency is not bad, there is no risk of being replaced, but for future considerations, I still make up my mind to study in depth, and I should check and fill in the gaps.

During the study period, I realized that many classmates and friends, even if they were studying, but it was still good for everyone to discuss and communicate fiercely in the community; The teacher is also very responsible, and can help me solve the problems I encounter in my work, which I did not expect.

The content of the course is relatively simple, because I have a certain foundation, but the quality of the course is quite reliable, at least the teacher is really talking about things, as for the results vary from person to person, some students have found jobs; Some have learned something, some have stopped taking less than half of the course, and so on.

Before choosing Greedy Academy Machine Learning, I compared other training institutions in the market, and finally made up my mind to choose the second training camp of Greedy Academy.

The result is still satisfactory to me, the core algorithm and technical details, the derivation process of each step is relatively detailed, sometimes I am too busy to watch the live broadcast, whether it is taking notes while live streaming or watching the recorded course directly, it does not delay the progress of learning.

There is also the teacher's teaching style I like, not muddy, not patchwork, but clear and thorough, often guide and correct homework, teach students to learn, and even sometimes occasionally do not want to write homework, but also be urged by the teacher to complete, such a situation is really rare.

Now that it's been more than a year since I graduated, now I think about it in the days of greed, although it was an online course, there were no offline exchanges, but I still have a deep memory, and I became friends with the teacher, and I just threw it over if I had a problem, hahaha.

The first batch of students of machine learning of the Greedy Academy reported that the course is decent, and there is still a difference between the course and the Ng Enda machine learning, and the greedy course is more practical and meets the needs of the domestic workplace; Ng's curriculum is more theoretical, suitable for beginners and non-professional personnel. However, it is also a big thing to work your own, even if it is a good course, if you don't study it, you can't do it; The teacher here is very responsible, but don't rely on the teacher for everything, after all, active learning can help you.

After understanding it, I feel that they are better than the artificial intelligence of Jiaotong University.

Jiaotong University can mainly intern and study in leading AI technology companies, and there are corporate subsidies, and the tuition fee is much cheaper after the subsidy.

Artificial intelligence is indeed developing very well now, and if you want to change careers to learn artificial intelligence, you can also do it.

If you learn to find a job after learning, the minimum salary is tens of thousands, tuition and salary, of course, it is not expensive, not to mention that the salary is still every month, this is not counting the company benefits, bonuses, etc., tuition is just a one-time expenditure, but if compared with the tuition fees of other subjects, of course, it is expensive, you get what you pay for, or the old saying, pay for it.

Artificial intelligence is the new gimmick of IT training courses, and the cost is of course the highest among all majors in IT training courses.

As a student of the Greed Academy, to put it bluntly, I found a job through greed and achieved my goal, which is enough for me, everyone must be clear about their goals before choosing, otherwise they will be even more confused after studying.

In fact, Greedy Academy is not a very popular company, especially in China, where there is very little marketing and publicity.

There are some differences and differences with Ng Ng's courses abroad, but I think it is suitable for domestic students. In my case, of course, studying courses is for employment and career promotion, otherwise I don't want to waste time and money in this place; Foreign courses may lack localization, and the theory is indeed invincible, but the practice is not so bright.

The important point of choosing a greedy college is that the teacher is very professional and will take you through every process and path by hand, so that even if you are not motivated to learn, you can slowly keep up, which is good for your future.

I participated in the intermediate machine learning course of the Greedy Academy, after a period of training and study, and finally successfully graduated and found a job, I didn't expect myself to be so smooth, the key is to pay attention to learning methods, and ask the teacher in time if I don't understand.

Let me tell you my learning feelings: the course knowledge points and dry goods are intensive, I can learn things, and I can use them. After learning, you will be able to fully grasp the knowledge content of machine learning, and pave the way for the practical problems encountered in the future work.

Mr. Wenzhe's teaching form and style are still very good, and he can communicate with him in a timely manner in the face of problems in learning, and he is patient and responsible. The practical project explanations are very detailed, and each project covers a lot of knowledge points to solve problems in practical operations, so as to understand machine learning. You can discuss and communicate together in the community, between different industries, in mutual chats, you can improve your vision and thinking, and occasionally you can also conduct offline salons and gatherings.

It's okay, the technology is good, but now the training has become popular for internal learning in the enterprise, contact with real robots, this model is based on Jiaotong University Deep Blue as the head, you can refer to it. It is also important to be able to actually touch the robot.

The prospect is very good, China is upgrading its industry, and industrial robots and artificial intelligence will be strong hot spots, and it will be exactly 3 5 years later. The difficulty, it must be high, you need to have innovative thinking ability, calculus, number sequence, etc. in high mathematics must be very good, software programming (the most widely used basic language: C C++) must be very good, microelectronics (digital circuits, low-frequency and high-frequency analog circuits, and most importantly, embedded programming ability) must be learned very well, and there must be a certain mechanical design ability (spatial thinking ability is very important).

In this way, you are a talent, and you are a talent in the field of artificial intelligence that China urgently needs in the next five years. If you delve deeper, you will be an expert or even a master in the field.

But!!! If you don't have these preferences and specialties or haven't been able to learn these subjects well, it's too late to make other choices.

The prospect is very good, and the future development is also very good, which can be referred to by the college.

In this case, you have to learn well in each major, and if you learn well, you can do it, and that artificial intelligence major is also very popular now, and there is no big problem.

I think it's pretty good. As long as you like to study whatever you like, it's very good.

Currently, artificial intelligence is a fast-growing field, and there is a great demand for talent. Compared to other technical positions, competition is low and the salary is relatively high. So now is a good time to get into the field of artificial intelligence.

Research also shows that talent with more than three skills is more attractive to businesses, and the trend is becoming more pronounced. So IT technicians need to master more skills while mastering a technology! There is a clear shortage of AI talent, and this situation is expanding.

In the current socio-technical environment, there is a need for talents with solid professional skills and complex backgrounds. Among Internet companies, the salary of artificial intelligence ranks third, and the highest salary is for practitioners in the direction of voice recognition.

It's still a good prospect.

The development of artificial intelligence was slow at the beginning, but in the past two years, with the development of the Internet, a lot of data has been accumulated, making it possible for ordinary users to contribute data, and the development of artificial intelligence has been greatly promoted on the basis of big data and cloud computing, and search engines and big data technology are the basis for the development of artificial intelligence.

It's quite promising, and the employment is quite extensive.

Hello, I'm glad to answer for you I'm talking about emotions in clothes, and my questions are answered by me. I'm typing for you to solve the problem, it will take about 5 minutes, don't worry, please wait a while.

Industrial robotics and artificial intelligence will be hot spots, and it will be exactly 3 to 5 years from now. 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.

However, the difficulty of learning artificial intelligence is relatively high, requiring you to have innovative thinking ability, calculus in high mathematics, number series, etc. must be very good, software programming (the most widely used language in the basics: C C++) must be good, microelectronics (digital circuits, low-frequency and high-frequency analog circuits, and most importantly embedded programming ability) must be learned well, and there must be a certain mechanical design ability (spatial thinking ability is also important).

Question: Which is better, artificial intelligence and new energy vehicles, undergraduate employment?

2.Today's new energy vehicles are the product of policy, not the result of technological progress. Artificial intelligence is the result of technological advancements.

Question: Artificial intelligence and electrical science and technology, which undergraduate employment is good.

Question: Without a family background, is it difficult to enter the State Grid after graduating from an ordinary bachelor's degree in electrical engineering?

Can you recommend a few high-tech undergraduate majors that are good for employment?

It's not hard to answer, it's not so dark now. Every year, State Grid will recruit students, and students can take relevant exams held by State Grid. After careful selection, students can enter the State Grid to work.

However, there is a lot of competitive pressure on students, and only very good students are admitted, and the acceptance rate is not very high.

Medical imaging, preventive medicine, science and technology, mechanical and electronic engineering, transportation, vehicle engineering, thermal and power engineering, information management and information systems, electrical engineering and automation, building environment and equipment engineering and other 10 majors are available.

Artificial intelligence is now a new star, the industry is developing rapidly, it is inseparable from big data, the Internet, in the current society, artificial intelligence can be said to be a popular major, this area of talent shortage, development prospects, it is very prosperous.

AI artificial intelligence will become a major trend of social development in the next 10-20 years, if you can learn this major well and study it thoroughly, it will be a qualitative leap for your own growth!

The prospect of artificial intelligence is very good, China is upgrading its industry, industrial robots and artificial intelligence will be hot spots, and it is exactly 3 5 years later. However, there is also a problem that everyone should pay attention to: the difficulty of learning is relatively high, you need to have innovative thinking skills, calculus, sequences, etc. in advanced mathematics must be very good, software programming (the most widely used language for basic purposes:

c c++) must be good, microelectronics (digital circuits, low-frequency and high-frequency analog circuits, and most importantly embedded programming ability) must be well learned, and there must be a certain mechanical design ability (spatial thinking ability is also important).

It's good to learn artificial intelligence now, the application of artificial intelligence is very extensive, and now there are a lot of smart home products and so on, and there will definitely be good development prospects in the future, as long as you are willing to learn!

Due to the relatively small number of relevant 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.

Artificial intelligence is currently a fast-growing field, with a high demand for talent, low competition and relatively high salaries compared to other technical positions, so now is a good time to enter the field of artificial intelligence. Research also shows that people with more than three skills are more attractive to businesses, and the trend is becoming more obvious, so IT technicians need to master more skills while mastering a technology!

Step 1: You need to master a commonly used programming language in the field of artificial intelligence, either Python or R language, and you can master one of them; I personally recommend you to learn the Python language because Python is very popular and powerful. Here, you only need to spend a week to grasp the basics of Python, such as how to define variables, how to manipulate tuples, how to customize functions, etc.;

Step 2: You need to make up for mathematical knowledge, if you have zero foundation, you must first learn the basic knowledge of advanced mathematics, starting from basic data analysis, linear algebra and matrices, etc. Some people also wonder why artificial intelligence needs math-related knowledge.

Because mathematical knowledge has always run through the various models of artificial intelligence deep learning, understanding the principle and application of formulas, as well as the derivation process of formulas, and helping the parameters of various neural networks to adjust, can be flexibly used to create new algorithm models.