For before applying for a machine learning position, first of all, you should have an understanding of your own ability. For example, the success rate of one's first degree will be higher if one's first degree is a unified undergraduate degree, and then a 985 or 211 institution. The minimum threshold for applying for a job is a master's degree, below which the degree is basically brushed. After all, this recruitment requirement is basically a large enterprise, people have a clear recruitment goals and requirements, the position can be said to be rather lack than abuse.
Then you need to be good at advanced math, which is the foundation. Machine learning is, after all, a cross-disciplinary subject that requires mastery of more than 10 courses, such as optimization, computer data structures, C++ and so on.
For these positions, they are usually internally trained or recommended, and less often socially recruited. Of course the salary is really generous, and the work intensity is not low. The machine learning or artificial can only be a practical job, naturally, need to constantly compare various models in order to choose a suitable model in production.
For training and licensing
Don't believe the promise of the training company that you can enter a big factory after graduation. If it is true that you can get into a big factory, then there is very little hope for those who have not been trained. In this regard, you can refer to the book"AI trainer" training, targeting small citiesThe "to understand. And the certificate from the Ministry of Industry and Information Technology mentioned in the article is $490 for the first one, with an additional $300 for the paper certificate.
If one can be on the job after training, then it is not far from people being replaced by machines. Those who advocate artificial intelligence are simply trying to use machines to replace people so that they can collect more lucrative profits. This is like the self-driving companies, after investing in millions of self-driving cars, the income of the current network car drivers immediately received a challenge. Net car companies again pit, still have to pay your salary or provide five insurance and one gold, if it really came to the time of self-driving rampage, this part of the profits directly by the self-driving companies to take away.
If it's true that you can get on the job with training, then the bar for AI is comparable to going to a driving school and getting a license.
The Cold Winter of Artificial Intelligence
Never get caught up in the myth of machine learning and AI as it is just a tool. With deep learning, the flaws in its ceiling are basically visible now, while it is more of a feature extraction tool, and there is still a long way to go before true AI.
For the publicly available machine learning methods in the market usually can rarely be used in the real world, because the real business are very different and need to be customized development. But the idea is that some borrowing and learning can be done.
With ChatGPT hot almost 2 years later, the relevant capital is already shuffling around, which means that there are quite a lot of companies that business is required to be cut. If the profits on AI are completely unable to make up for its investment, and where the losses go, naturally the people who were bullish and bought their shares are being harvested.
concluding remarks
In fact, the biggest variable is people, because people think. This cannot be monitored, but it can be observed and predicted through some of their behaviors. That's why people are dominant.