Description
Summary of qualification Motivated learner with R & D experience focusing on data mining such as model selection, and scalable machine learning. Support a spirit of wisdon of crowd to develop best solution but can work independently to solve any data mining problem. Team oriented and collaborative. Work with Python, R in my research and have knowledge in SQL, C++ and Java for daily work as a teaching assistant for corresponding course work during my PhD study. Excited to learn about data from statistical view point and put my machine learning in action. Enjoy to learn from and interact with others through study groups in different online course platforms. Interesting to pursuit statistical field that may be benefit my future career. My long list of activity during this school year is to finish my PhD degree, spend time in Machine Learning contest, participate as TA community for online course, support volunteer work as global translation for online course. "Algorithm for text classification in open world recognition" accepted paper on IEEE CCWC 2017 (Annual Computing and Communication Workshop and Conference) Jan 9 -11 Las Vegas Selection using performance and run time behavior" Regular paper AIMSA 2016 (International Conference on Artificial Intelligence: Methodology Systems Applications) Sept 3-5 Bulgaria. "Predicting run time of classification algorithms under meta-learning approach" Regular paper on Journal Machine Learning and Cybernetic. June 2016
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