The prevention and control of the epidemic should not be neglected, and learning should not be interrupted. In this special period, CAAI actively explored the innovation mode of academic exchanges, built a bridge connecting the knowledge of intelligent science and technology with the screen around AI + academic and AI + technology, and set up a series of activities such as CAAI cloud classroom for members of CAAI and AI practitioners. With the support of QYKX of CAST, CAAI provided free and high-quality knowledge services through cutting-edge and high-quality courses. Let's start cloud interaction and face to face with the lecturer!

No.1

 Lecturer of Phase II

Xizhao WANG

Professor of Shenzhen University, executive director of CAAI, director of Special Committee of Knowledge Engineering and Distributed Intelligence，IEEE/CAAI Fellow

Xizhao WANG, doctor, doctoral supervisor, chairman of IEEE-SMC Computing Intelligence Committee, and editor in chief Machine Learning and Cybernetics of Springer magazine. Shenzhen high-level overseas talent, who have won the first prize of natural science at provincial and ministerial level and the first prize of Artificial Intelligence Natural Science by Wu Wenjun. His main research interests include uncertainty modeling and big data-oriented machine learning, and he has published many academic papers in this field. He has also written Decision Tree Induction Based on Uncertainty and Learning with Uncertainty and other works; presided over and completed a number of projects such as NSFC; supervised more than 150 doctoral / master degree graduate students in total; served as the president of conferences or procedures of many international / domestic academic conferences.

No.2

Brilliant Courses

This live broadcast course of Professor Xizhao WANG entitled "Uncertainty in Supervised Learning" will be divided into two parts. In the first part machine learning, the most widely used supervised learning in machine learning, including supervised / semi supervised / weak supervised learning, uncertainty concept, and uncertainty modeling in learning and so on were introduced. In the second part, WANG analyzed the supervised learning model from the perspective of learning bias, points out the consistency of weak supervised modeling and uncertainty processing, and emphasized that the representation and processing of uncertainty, from data to model to algorithm, has a significant impact on the whole learning process and learning system performance. Finally, some results and some application cases of uncertainty modeling in the learning process in recent years were briefly introduced.

No.3

Into the Classroom

1.  Live broadcast time：3月13日 19:00—20:30

2.  Welcome to the communication group of cloud classroom Phase II.

When the quota is full, you can add a live assistant QR code.

Please note "watch live cloud class" when adding

3. 19:00-20:00 is the lecture time

20: 00-20:30 is the communication time after class

Users can communicate with lecturers through message

4. Want to learn more about CAAI cloud classroom

No.4

Tips

1. If you are affected by the network with being stuck, please try refreshing to exit and enter again;

2. To achieve the ideal viewing effect, please try to ensure a quiet viewing environment;

3. Before watching, we can have a certain understanding of the lecture content, so as to strengthen the resonance and interaction during watching;

4. CAAI cloud classroom will be open to the public free of charge, and will not charge you in any form, and no organization can reprint in the name of charge