With the maturity and large-scale application of artificial intelligence technology, China's artificial intelligence industry has entered a stage of rapid development. Python, as the most popular programming language in the field of artificial intelligence, has become a compulsory course for big data, data science, data analysis, artificial intelligence, machine learning and other related majors. According to a study by KDnuggets, Python has surpassed R language and become the most popular language in the fields of data analysis, data science and machine learning. However, at present, there are many problems in the construction of Python language courses in China, such as insufficient teachers, low degree of integration with majors and poor practical ability.
I. Objectives and orientation:
1, aiming at the teaching needs of big data related majors, explaining Python programming technology;
2. Attach importance to the combination of theoretical explanation and computer operation to improve teachers' practical ability;
3. Explain the main features of big data thinking and data science with Python technology;
4. Understand the basic process of Python data analysis project through typical cases;
5. Provide Python tutorials and course resources for data science and big data applications.
Two, Shenzhen on-the-job courses and training objects
1, research and teaching leaders, backbone teachers, doctoral students and master students of related majors in colleges and universities, computer science and technology, network engineering, software engineering, information engineering, information management, e-commerce on-the-job courses, statistics, mathematics, economic management and marketing; Students who are interested in and need machine learning technology and are willing to study in depth.
2. Relevant leaders of cloud computing and Internet of Things industry in local governments, CIOs, leaders and technical directors of enterprise information centers, architects, designers, engineers, programmers and data mining leaders of IT/ software enterprises and R&D institutions.
Third, the speaker
Dr. Liu An, member of IEEE, member of China Computer Federation, member of Database Committee of China Computer Federation and member of Intelligent Service Committee of China Artificial Intelligence Society. Received a doctorate in computer science from the University of Science and Technology of China and a doctorate in computer science from the City University of Hong Kong. He used to be a senior associate researcher at City University of Hong Kong and a postdoctoral researcher at King Abdullah University of Science and Technology in Saudi Arabia. Mainly engaged in research on big data and artificial intelligence. He has published more than 80 papers in top international journals and famous international conferences such as IEEETKDE, IEEETSC, KAIS, GeoInformatica, WWWJ, ICDE, WWW and CIKM. He was the chairman of dasfa 20 19, APWEB-WAIM20 18, the chairman of WISE20 17, dasfa 20 15, and BDMS 2018/2017/. He is a guest commentator of several international academic journals, including ACM TOIT, IEEETKDE, IEEE TSC, IEEE TCC, IEEE TII, DKE, JSS and international academic conferences.
Is the postgraduate entrance examination policy unclear? Is Shen Shuo confused with the same academic level? Is it difficult to choose a college major? Click on official website below, and a professional teacher will answer your questions. 2 1 1/985 postgraduate master/doctor open network application name: /yjs2/