Ai under the tuyere, PHP is outdated, Java status is not guaranteed!

PHP from the birth to now has more than 20 years of history, from the rise of the Web era to the low tide of mobile internet, the Internet field of various programming languages and technologies, node. js, GO, Python constantly challenged PHP status. The drivers of these technologies are very keen to sing bad PHP, where is the future of the PHP language? How do PHP programmers cope with future changes?

First of all, AI and machine learning.

Machine learning is a method of realizing artificial intelligence, and it is also the most important method at present. The most basic approach to machine learning is to use algorithms to parse data, learn from it, and then make decisions and predictions about events in the real world. Unlike traditional, hard-coded software programs that solve specific tasks, machine learning is "trained" with a large amount of data to learn how to accomplish tasks from data through various algorithms.

PHP developers have a broad job market, but the domestic PHP elite group is relatively few. Because the domestic university does not have the PHP related curriculum, wants to enter the profession can only self-study or the training. Secondly, many training institutions to save the cost of teaching only by the old-fashioned teaching, most students can only learn Php+node or Php+go.

Currently the Web Development popular language has ASP. NET PHP jsp. These four kinds of ASP and. NET can only work on the window platform, and there is no new development in the number of ASP. JSP I think it's just a sideline in Java. Now the majority of companies using PHP are small companies or outsourcing, there is no technical content and development space. I personally think that PHP's biggest advantage is the development speed, low cost, and with the current development of Python and Nodejs PHP's only these competitiveness will not exist, and in the past few years, the use of PHP has been declining.

The future of the internet belongs to AI, and if you don't know the concepts of machine learning, deep learning, artificial intelligence, you need to learn it as quickly as possible. The internet giants are now laying out artificial intelligence, including Google, Facebook, Microsoft, Amazon and domestic Baidu. Although it is still at the stage of scientific research, the future of the Internet will be applied to artificial intelligence, including automatic driving, big data analysis, online games, image recognition, language processing and so on. Of course, now ordinary engineers may not be able to participate in AI products, but at least they should understand the basic concepts and principles of deep learning/AI.

Most deep learning frameworks now support Python, and who doesn't use Python? Python has a lot of good deep learning libraries available, life is too short to use Python. How can I use a python-developed machine learning model to run quickly and cost-efficiently, with depth-compatible tensorflow? You can learn the Aiy Projects project under Google. It is also promoting the interest of AI in developers and DIY communities through programs such as the Aiy project, which in itself represents artificial intelligence. Google's goal is to enable the AI to achieve real civilian, so that AI everywhere, everyone can learn.

Ai under the tuyere, PHP is outdated, Java status is not guaranteed!