takeaway




























































Talk about the combination and promotion of machine learning and statistics. In the interview, Professor Wu introduced a large number of cases, clearly and concisely expounded his views on some important issues of machine learning and statistics, which is a rare reference for us to learn data science, machine learning and artificial intelligence.














You have to cross fields to do data



AI Science and Technology Base: Now everyone is concerned about artificial intelligence, but when we discuss inside AI Science and technology base, we find that the focus of ARTIFICIAL intelligence is more on algorithms and models, and as for the upstream data collection and processing process, people do not care much. What do you think of this phenomenon?






Professor wu:


















AI Tech Base: What are the problems with data processing in the average enterprise? What kind of capabilities are needed to solve the problem here?






Professor wu:






AI Technology Base camp: Machine learning is very hot at the moment, when it lands in these specific application scenarios, how should we face the data here?






Professor wu:










































AI Tech Base: and conversely, people who study computers, like programmers, how should they combine with statistics?






Professor wu:














Two cultures of statistics

Professor Wu Xizhi of Peking University



AI Tech Base: How did you get started with machine learning?






Professor wu:






AI Tech Base: Not an order of magnitude, how should I put it?












AI Tech Base: When did you start using machine learning?






Professor wu:
































Machine learning to transform statistics



AI Tech Base: Can I understand that you are more interested in applying machine learning ideas to statistics?






Professor wu:


















AI Technology Base camp: How should we learn based on question driven thinking? Mr. Wu, how do you do in this aspect?






Professor wu:


















AI Tech Base: How do you teach your students and how do you get them to use your stuff?






Professor wu:
















































AI Tech Base: So, we learn machine learning and data science, in fact, the first is to have a data thinking driven by questions, using this thinking is the transformation of statistics, can we understand this?






Professor wu:





end