I have experience in Statistical Tests, Data Analysis, Machine Learning, Deep Learning and Image Recognition. I am also with programming skills in Python, SQL, R, HTML. Besides that, I am a self-motivated person who is eager to gain more experience on programming and a good teamworker.
1996, New Taipei,TW 0939-121-671
[email protected]
Job Description:
Data analysis | Database managemen | Statistical Tests | Machine Learning | Web crawler
Python, R, SQL, Power BI
Data Analysis, Operation Research, Machine Learning, Statistic, Deep Learning, Database management
Performance Analysis of GI/M/1/K Queuing System with F-policy and Heterogeneous Service Rates and Optimization
Establish interpretable and repayable predictive models through the typical machine learning algorithms, and use process capability indicators as the response variables for consistent quality abnormalities, abnormal production yields, and abnormal process capabilities to compare the performance of different algorithms in limited samples.
Date : 2020/11/16
subject : The Application of Statistics and Quantity Method
Thesis Topic: Performance Analysis of GI/M/1/K Queuing System with F-policy and Heterogeneous Service Rates
I have experience in Statistical Tests, Data Analysis, Machine Learning, Deep Learning and Image Recognition. I am also with programming skills in Python, SQL, R, HTML. Besides that, I am a self-motivated person who is eager to gain more experience on programming and a good teamworker.
1996, New Taipei,TW 0939-121-671
[email protected]
Job Description:
Data analysis | Database managemen | Statistical Tests | Machine Learning | Web crawler
Python, R, SQL, Power BI
Data Analysis, Operation Research, Machine Learning, Statistic, Deep Learning, Database management
Performance Analysis of GI/M/1/K Queuing System with F-policy and Heterogeneous Service Rates and Optimization
Establish interpretable and repayable predictive models through the typical machine learning algorithms, and use process capability indicators as the response variables for consistent quality abnormalities, abnormal production yields, and abnormal process capabilities to compare the performance of different algorithms in limited samples.
Date : 2020/11/16
subject : The Application of Statistics and Quantity Method
Thesis Topic: Performance Analysis of GI/M/1/K Queuing System with F-policy and Heterogeneous Service Rates