Machine Learning on Energy Consumption Prediction

The project is in HKU deep learning lab. We analyze a large set of energy consumption data and build real time application based on the prediction. The topic involves different machine learning approaches and comparison. Since the machine learning is often discussed, I will also talk about the often ignored skill in data science. How to handle huge data and optimize the processing code, how to effectively build useful tools and make the life of data scientist easier, and how to correctly interpret the predicting result to enhance the project level from merely "machine learning" to real "data-driven application"

Day 2 (5th November) 02:00 PM - 02:30 PM
AC1 Lecture Hall LT-16
English (English Slides)


Benny Huang Huang Wei Chen

Hi! I am Benny. I am 20 year-old and now studying at the University of Hong Kong. I love coding and I enjoy coding in Python.

I am currently a year-2 student who would like to learn not only how to code, but also why the code works and how to make the code better. Hence I choose a major that would give me more understanding on hardware and lower level implementation. And of course, more fun!

Nationality: Taiwan Live In: (Hong Kong)