Artificial Intelligence can do after graduation positions summarized and analyzed 5 major careers.
1, algorithm engineers, algorithm engineers is a relatively high-end position,
Professional requirements: computer, electronics, communications, mathematics and other related majors;
Educational requirements: bachelor's degree and above, most of the master's degree and above;
Language requirements: English is required to be proficient, basically able to read foreign professional books;
Must have knowledge of computer-related knowledge, proficient in the use of simulation tools MATL.
Must master computer-related knowledge, skilled use of simulation tools such as MATLAB, must know a programming language.
The main research direction of algorithm engineers is video algorithm engineers, image processing algorithm engineers, audio algorithm engineers, communication baseband algorithm engineers, signal algorithm engineers.
2, data mining engineer, data mining engineer is a kind of data division (Datician ['detn]). Generally refers to a large amount of data through algorithms to search for knowledge hidden in the engineering technology professionals. This knowledge can be used to make business decisions intelligent and automated, thus enabling companies to improve efficiency and reduce the possibility of wrong decisions in order to be invincible in the fierce competition.
3, image recognition engineers, image recognition, refers to the use of computer image processing, analysis and understanding, in order to identify a variety of different modes of target and object technology, is the application of deep learning algorithms a practical application. At this stage, image recognition technology is generally divided into face recognition and commodity recognition, face recognition is mainly used in security checks, identity verification and mobile payment; commodity recognition is mainly used in the process of commodity circulation, especially in the field of unmanned retailing such as unmanned shelves and intelligent retail cabinets?
The traditional recognition process of image is divided into four steps: image acquisition → image pre-processing → feature extraction → image recognition. Image recognition software foreign representatives of Cognex, etc., the domestic representatives of the figure intelligence, Haishen Technology, etc.. In addition, in geography, it refers to the technology of classifying remote sensing images.
4, natural language processing engineers, natural language processing is an important direction in the field of computer science and artificial intelligence. It studies various theories and methods that can realize effective communication between human and computer in natural language. Natural language processing is a science that integrates linguistics, computer science, and mathematics. Therefore, the research in this field will involve natural language, i.e., the language that people use every day, so it is closely related to the study of linguistics, but there are important differences. Natural language processing is not the study of natural language in general, but lies in the development of computer systems that can effectively realize natural language communication, especially the software systems therein. It is thus a part of computer science.
Natural Language Processing (NLP) is the area of computer science, artificial intelligence, and linguistics concerned with the interaction between computers and human (natural) language.
5, Language Recognition Engineer, Speech Recognition is an interdisciplinary discipline. In the last two decades, speech recognition technology has made significant progress and is beginning to move from the laboratory to the market. People expect that in the next 10 years, speech recognition technology will enter the industry, home appliances, communications, automotive electronics, medical, home services, consumer electronics and other fields. The application of speech recognition dictation machines in a number of fields was named by the U.S. press as one of the ten major events in computer development in 1997. Many experts believe that speech recognition technology is one of the ten most important technological developments in the field of information technology between 2000 and 2010. The fields involved in speech recognition technology include: signal processing, pattern recognition, probability and information theory, vocal and auditory mechanisms, artificial intelligence, and so on.
Basic Artificial Intelligence Learning and Interview Secrets