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In the field of artificial intelligence, you have to know Python
In the field of artificial intelligence, you have to know Python
The year 2017 was called the Chinese year of artificial intelligence - during the two sessions, artificial intelligence was once a national strategy and was written into a government report. In the past year, AI technology has been focused on, and has been gradually penetrated into other industries. According to McKinsey Co estimates, by 2018, the Chinese government's investment in AI research is expected to reach 15 billion US dollars, and the demand for high-end IT talents will be doubled in government and market.
Related work to engage in the development of artificial intelligence, it is necessary to understand the related technology of artificial intelligence, such as big data, cloud computing, deep learning algorithm, and robot technology, voice recognition technology such as artificial intelligence technology of storage, all cannot do without the Python, Java, C++ and other programming language support. At the moment, the Python is thought to be the preferred programming language of the present artificial intelligence technology. In the near future, this open source dynamic script language will become the first truly programming Esperanto. So if you want to start AI, you will have to start from Python.
As a dynamic programming language for the present, Python is sensitive and beautiful in grammar, clear and simple in grammatical structure, strong in readability and wide application. Python is not only the first choice language for AI, data analysis and crawler. As a full stack language, Python is quicker, easier to handle, and more portable. It can also be developed across platforms. But the difficulty lies in how to build a systematic, scientific and rational learning system through high quality learning resources and stick to it.
Foreign websites such as GitHub and Stackoverflow are good technology exchange, the former brings together many of the top developers, users can search all shared project code; the latter is a powerful IT technique community, many technical problems can be answered here. At home, like mousse, its courses have gathered the mainstream Internet technology from artificial intelligence, front end, Java, large data to cloud computing. Among them, the free curriculum masking has been introduced to every stage. Teachers are basically from the BAT big coffee and the IT elite. IT is a big welfare for white or advanced working people. At the same time, there are many courses related to Python, such as "the building of Python development environment", "the initial experience of the Python whole stack case" and so on. In addition to video courses, mo-net ape and notes also provides a forum to ask a lot of questions and dry cargo original technology articles, very suitable.
For a group of working people with a certain background, in order to further improve, this stage should enhance their actual combat ability in all kinds of scenarios, besides learning video courses. There are all kinds of special technical practice course in the Mu class online combat course content from the enterprise sector, the real case fit more practice, such as: "Python3 introduction to classical machine learning algorithms and Applications" on the basis of typical problems encountered in the programming practice, through the actual code more efficient control of the ability to solve practical problems.
Under the challenge of AI, we should use the convenience of the Internet, control more efficient learning methods, and actively acquire more information, so that you can not be eliminated in the rush hour of AI.
Related work to engage in the development of artificial intelligence, it is necessary to understand the related technology of artificial intelligence, such as big data, cloud computing, deep learning algorithm, and robot technology, voice recognition technology such as artificial intelligence technology of storage, all cannot do without the Python, Java, C++ and other programming language support. At the moment, the Python is thought to be the preferred programming language of the present artificial intelligence technology. In the near future, this open source dynamic script language will become the first truly programming Esperanto. So if you want to start AI, you will have to start from Python.
As a dynamic programming language for the present, Python is sensitive and beautiful in grammar, clear and simple in grammatical structure, strong in readability and wide application. Python is not only the first choice language for AI, data analysis and crawler. As a full stack language, Python is quicker, easier to handle, and more portable. It can also be developed across platforms. But the difficulty lies in how to build a systematic, scientific and rational learning system through high quality learning resources and stick to it.
Foreign websites such as GitHub and Stackoverflow are good technology exchange, the former brings together many of the top developers, users can search all shared project code; the latter is a powerful IT technique community, many technical problems can be answered here. At home, like mousse, its courses have gathered the mainstream Internet technology from artificial intelligence, front end, Java, large data to cloud computing. Among them, the free curriculum masking has been introduced to every stage. Teachers are basically from the BAT big coffee and the IT elite. IT is a big welfare for white or advanced working people. At the same time, there are many courses related to Python, such as "the building of Python development environment", "the initial experience of the Python whole stack case" and so on. In addition to video courses, mo-net ape and notes also provides a forum to ask a lot of questions and dry cargo original technology articles, very suitable.
For a group of working people with a certain background, in order to further improve, this stage should enhance their actual combat ability in all kinds of scenarios, besides learning video courses. There are all kinds of special technical practice course in the Mu class online combat course content from the enterprise sector, the real case fit more practice, such as: "Python3 introduction to classical machine learning algorithms and Applications" on the basis of typical problems encountered in the programming practice, through the actual code more efficient control of the ability to solve practical problems.
Under the challenge of AI, we should use the convenience of the Internet, control more efficient learning methods, and actively acquire more information, so that you can not be eliminated in the rush hour of AI.