AI & Innovation¶
This notebook will sincerely record all the knowledge mentioned in Courses HKUSPACE provide. Maybe the note will bring you a insight into the Short Exchange Programme.
Artificial Intelligence & Future Technology¶
Narrow AI VS General AI
Q&A¶
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Professor, I have a question in regard of how to learn. I'm wondering about how to dive into math because math is so important that all impressive and efficent algorithm is based on math like line algebra,proablility theory and so on. I wonder whether the way I learn math is to lay empasis on prove or on calculation?
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Professor,I’m a newcomer to train a learning Model and build a learning model. I'm not very good at programming. And I have seen some researchers build their predicting model based on others' opensource code work from Github, like SparseTSF on ICML. So question is, should I programme myself to build a model from scratch? Becasue I also notice that Large AI company like SenseTime,ByteDance or NVIDA have developed their own tools, original packages or basic frameworks.