Smart High-Speed Big Data Processing 1. Using python to convert data to scale systems and pre-process it 2. Using visualisation software to demostrate on map 3. Matching data to the signal base stations
I started internship as Laboratory Assistant at Pattern Recognition and Artificial Intelligence Laboratory of EEASY·TECH. I learned the basic knowledge of machine learning and began to use the deep learning framework (PyTorch) to detect and recognize vehicle license plates.
1. Introduction to Health Data Science 2. Modern Information Engineering 3. Fundamentals of Statistics and Mathematics 4. Statistical Modelling and Inference in Health.
Main Functions: 1. Choose dishes randomly based on appetite and meal time 2. Support the addition, deletion, modification and check of dishes 3. You can view the historical selection in a pie chart
I attented the information session and became the one who grasped the scroll on the left.
Our group is fighting for helping aphasia patients regain speaking abilities.