What are the artificial intelligence professional courses? Friends who want to know more about this major can come and take a look. I have prepared "What are the artificial intelligence professional courses" for you below. It is for reference only. Keep paying attention to this site and you will continue to get more content information! What are the professional courses for artificial intelligence?
What basic courses do you need to learn for artificial intelligence
First of all, you need mathematical foundation: advanced mathematics, linear algebra, probability theory, mathematical statistics and stochastic processes, discrete mathematics, Numerical analysis
Secondly, it requires the accumulation of algorithms: artificial neural networks, support vector machines, genetic algorithms and other algorithms; of course there are also algorithms needed in various fields, for example, if you want the robot to navigate and build the location environment by itself Figures require studying SLAM; in short, many algorithms require time to accumulate;
Then, you need to master at least one programming language, after all, the implementation of the algorithm still requires programming; if you go deep into hardware, some basic electrical courses Indispensable;
Artificial intelligence is generally not studied until graduate students, and undergraduates can only scratch the surface. After all, the basic courses required are too large.
The main fields of artificial intelligence major are: machine learning, introduction to artificial intelligence (search method, etc.), image recognition, biological evolution theory, natural language processing, semantic web, game theory, etc. The required prerequisite courses mainly include signal processing, linear algebra, calculus, and programming (preferably with a foundation in data structures).
Professional knowledge required for self-study of artificial intelligence
Artificial intelligence is a comprehensive subject, as mentioned above. And it itself is divided into many aspects such as neural network, machine recognition, machine vision, robots, etc. It is not easy for a person to teach himself all aspects of artificial intelligence. For those of you wondering how deep AI needs to be in terms of programming. How should I put it? Whether it is C or assembly, it is a language that can be used flexibly. Most robot simulations use a hybrid programming model, which uses a combination of multiple programming software and languages. The reason for this is to make up for the shortcomings between languages. Prolog is outstanding in logical deduction. C is more prominent in hardware interface and windos connection, and MATLAB is more prominent in mathematical model calculation. If you just learn artificial intelligence algorithms, prolog is enough. If you want to develop machine simulation programs, you should learn more VC MATLAB. Learn about what books you want to buy. I can only give you an introduction to the books I have read, and you can make your own decision.
Artificial Intelligence Algorithms: "Artificial Intelligence and Its Applications" third edition, Artificial Intelligence and Knowledge Engineering. I feel like buying one of these two books is enough ~ the first one feels simpler and more comprehensive. There are actually many such books. Most of the content is repetitive so just buy one or two copies.
Machine vision algorithms: The book "Machine Vision Algorithms and Applications" mostly talks about machine vision applications in industrial production. It is not very simple in terms of content, so it is not recommended to study it as an introductory textbook.
Robotics: The new Japanese version of the "Robot Technology Manual" is probably the only comprehensive and practical book on robots that I found on Dangdang.com. This book covers comprehensive topics from basics to applications as well as some practical robotics issues. Highly recommend buying a copy. Further reading: The future development prospects of artificial intelligence
Artificial intelligence technology has made explosive progress in both core technology and typical applications. With the continuous updates and breakthroughs in platforms, algorithms, and interaction methods, the development of artificial intelligence technology will mainly be presented in the form of "AI X" (for a specific industry or industry). The emergence of all these intelligent systems does not mean the demise of the corresponding industry or profession, but only a partial change in the career model. Any theory, method and technology that helps machines (especially computers) simulate, extend and expand human intelligence can be regarded as the category of artificial intelligence and shows extremely bright development prospects.
In terms of our lives, it assists humans in completing intelligent tasks that were previously thought to have to be completed by humans. People will not only live in real physical space, but also in cyberspace. Every individual in cyberspace may be a human or an artificial intelligence.
In terms of production, artificial intelligence is expected to play an important role in the transformation of traditional agriculture in the future. For example, the macro and micro conditions of my country's cultivated land are monitored through remote sensing satellites, drones, etc., and artificial intelligence automatically determines (or recommends to administrators) the most appropriate planting plan, and comprehensively schedules the execution of various agricultural machinery and equipment to complete the plan. , thereby liberating agricultural productivity to the maximum extent.
In the manufacturing industry, artificial intelligence will be able to assist designers in completing product design. Under ideal circumstances, it can largely make up for the shortage of mid- to high-end designers, thus greatly improving the quality of manufacturing products. design capabilities. At the same time, by mining and learning a large amount of production and supply chain data, artificial intelligence is also expected to promote the optimal allocation of resources and improve corporate efficiency. Under ideal circumstances, artificial intelligence in enterprises will provide full-process support for enterprises in terms of product design, raw material purchase plans, raw material distribution, production and manufacturing, user feedback data collection and analysis, etc., and promote the transformation and upgrading of my country's manufacturing industry.
In terms of life services, artificial intelligence is also expected to play a huge role in education, medical care, finance, travel, logistics and other fields. For example, in the medical field, it can assist medical staff in completing the preliminary screening and triage of patients' conditions; intelligent analysis of medical data or intelligent medical image processing technology can help doctors formulate treatment plans and understand the patient's conditions in real time through sensors such as wearable devices. physical indications and observe the treatment effect. In terms of education, an educational artificial intelligence system can undertake the task of knowledge education, allowing teachers to focus more on cultivating students' systematic thinking abilities and innovative practical abilities.
For finance, artificial intelligence will assist banks to establish a more comprehensive credit reporting and review system, monitor the status of the financial system from an overall perspective, inhibit various financial frauds, and at the same time provide financial services such as loans with Scientific basis provides guarantee for maintaining the financial security of institutions and individuals. In terms of travel, driverless driving (or autonomous driving) has made considerable progress. In terms of logistics, logistics robots can largely replace manual sorting, and warehousing site selection and management, distribution route planning, user demand analysis, etc. will also (or have already) become intelligent.
Breakthroughs in core technologies such as platforms, algorithms and interfaces will further promote the leapfrog development of artificial intelligence. From the perspective of core technology, breakthroughs at three levels are expected to further promote the development of artificial intelligence, namely platform (physical devices and systems carrying artificial intelligence), algorithms (behavior patterns of artificial intelligence), and interfaces (artificial intelligence and artificial intelligence). interaction with the outside world).
Implementing an intelligent platform at the platform level that can serve different enterprises and different needs will be a major trend in future technology development. Algorithms determine the behavior pattern of artificial intelligence. Even if an artificial intelligence system is supported by the most advanced computing platform, if it is not equipped with effective algorithms, it will only look like a person with well-developed limbs and a simple mind, and cannot be considered truly intelligent. Algorithm design for typical intelligent tasks has been one of the core contents of this field since the birth of the concept of artificial intelligence.
Let the algorithm automatically adapt to this physical world where "the only constant is change" through its own evolution? This may be the key to "artificial" intelligence moving towards "human-like" intelligence. Interface (the way artificial intelligence interacts with the outside world) and communication are basic human behaviors. The boundary between artificial intelligence and humans is becoming blurred. A Chinese chatbot may make it easier for us to communicate than a foreign friend.
Therefore, how to achieve efficient communication and collaboration between humans and machines will be of great significance. Speech recognition and natural language understanding are one of the key technologies for realizing human-computer interaction.
In addition, brain-computer interface technology, which does not use natural language but directly communicates with machines through brain waves, has also made considerable progress. It is now generally possible to use brain waves to directly control external devices (such as computers, robots, etc.) Perform simple tasks.