Let's take a look at the latest set of data:
The latest data in 2018: python, big data, artificial intelligence practitioner wages
Why are salaries in the AI industry so high?
Whether it is scientific research institutes, business giants or start-ups, all walks of life are vigorously developing or introducing artificial intelligence. Due to insufficient reserves, there is now a shortage of artificial intelligence talents. And it's huge.
According to the global AI talent distribution map released by LinkedIn today, China's current AI talent gap exceeds 50,000.
The supply of talents is in short supply, which leads to the rise of salaries for positions in the field.
Many people, especially fresh graduates and programmers who have just started working, want to stand out with their strength and resumes in this AI boom. However, many people were brushed off by HR at the first level. Not to mention the technical aspects.
I guess everyone knows why.
At present, there is no in-depth AI major for undergraduates in artificial intelligence. After all, these directions belong to high-level knowledge and require a certain foundation. Although due to the current AI boom and the strong demand for talents in this field in the industry, some universities have begun to offer AI and data science majors, but the skills these students have after graduation and the talent standards required by enterprises are not right. wait.
Like the artificial intelligence department of BAT; the work related to artificial intelligence research in colleges and universities; star startups, such as Four Little Dragons, SenseTime, Megvii, HKUST, etc. If you have only studied computer science, it is not so easy to enter these companies or institutions, because you do not have practical projects, and you do not have overall and in-depth control and learning of artificial intelligence.
And if your school background is not tough (Tsinghua University, Peking University, Chinese University of Science and Technology, etc.), don't expect offers from these companies.
But does that mean you have no chance?
Do not. At least you still have the right and ability to learn.
You can learn on your own or with an expert tutor in this area.
For the question of getting started with artificial intelligence, many students are eager to try it. In fact, the core of artificial intelligence is machine learning (Machine Learning) and deep learning. And their foundation is programming (Python/c++, etc.) and mathematics (advanced mathematics/linear algebra/probability theory, etc.).
In addition, AI is the execution of logical algorithms, and the underlying architecture is big data. So how does artificial intelligence become so powerful? Just feed it "eat" big data. Big data is like food for artificial intelligence. Just like humans, the fresher and cleaner the food eaten, the healthier the artificial intelligence will be.
So if you want to enter this field, you need to go through at least the following five stages of study.
Stage 1: Mathematics
Advanced Mathematics / Linear Algebra / Probability Theory
Stage Two: Programming
Python tool library combat / python web crawler
Stage 3: Machine Learning
Introduction to Machine Learning / Machine Learning Improvement
The fourth stage: data mining practice
Introduction to Data Mining / Data Analysis in Practice
Stage 5: Deep Learning
Deep learning network and framework / deep learning project combat
Hundreds of class hours of study are the basics, but if you really want to learn it, it will take at least some time. Of course, it will vary according to each person’s foundation, and it cannot be ruled out that you can get it done in a short time.
If you want to fall into the arms of AI, but you don't know how to start. And when you are ready to learn machine learning and deep learning by yourself, but you are frightened by the expensive training courses outside, you can also choose to become a student majoring in artificial intelligence at Wanmen University.
Focus, it's free
We set up 300 class hours for this training, which completely covered the above five stages.
Professional course features
(1) Heavy foundation/systematization
(2) Step-by-step elaboration starting from the smallest example
(3) The logic of the specific courseware code is clear and the content is detailed
(4) Focus on the integration with cutting-edge applications and technologies, and integrate the experience of many artificial intelligence researchers
We will teach you step by step how to enter AI from basic novice, and directly save tens of thousands of training fees.
Due to the limited energy for course development, we only enrolled 300 students in this course.
If you follow our course step by step and study solidly, I believe that you will eventually have a small achievement in artificial intelligence, and it will be much easier to find such a job after learning, and the salary will not be low.
Why are we confident in offering this AI professional learning course?
Everything belongs to a strong group of mentors. In order to set up the artificial intelligence course, we specially recruited senior experts from the Paris Normal University, the Technion-Israel University of Technology and the American Institute of Data Application to teach this professional course.
math:
Tong Zhe, President of Wanmen University. In high school, he was recommended to the School of Physics of Peking University for the first place in the physics competition in Fujian Province. During the summer vacation of his junior year, he was admitted to the Ecole Normale Supérieure de Paris, France, and studied physics in France. After obtaining the M1 degree of the Paris Normal University + the Paris Normal University Master's degree, he returned to China and founded Wanmen University, which was recognized by 8 million users.
Python and artificial intelligence:
Xu Tie: PhD student in machine learning at the Technion-Israel Institute of Technology, master's degree in theoretical physics and complex systems at École Normale Supérieure, founder of cruiser, and author of papers in well-known neuroscience journals.
Data mining:
Data Application Academy (DAL) Lecturer: North America's premier Data Bootcamp core team. Chen Xiaoli-DAL, co-founder of the Data Application Academy (DAL), Ph.D. from the University of California, recommended to the Department of Mechanics of Peking University for mathematics competitions, and has many years of machine learning teaching experience.
You must know that in artificial intelligence training, the most difficult thing is to find suitable data. In the course, we cleverly used all kinds of public data and data generated by ourselves to solve the problem of insufficient data. The computing power is not easy to solve, but we will use the basic data of simple production, so that students can bypass the problem of computing power at the beginning, understand the core of machine learning and deep learning, and then cooperate with stronger computing power to easily solve the problem. difficult question. That's the beauty of these mentors.
They are among the top 1% in the field of artificial intelligence and big data. If you can learn the whole process, you still have the opportunity to get our big factory promotion opportunities. Major manufacturers such as Toyota and Huawei have a certain number of places. Many of our former students are from big factories, and you also have the opportunity to hook up with them.
One last thing. In 2017, the country's per capita disposable income was 25,974 yuan, ranking 69th in the world. You can find this data quickly on Baidu. By 2017, the penetration rate of higher education was only 38%. This is our society, and we really have a lot of opportunity.
I hope you, like me, believe in the saying "learning changes destiny" .
See below for how to register for the course