Learn More โ
Learn More โ
Learn More โ
Learn More โ
Learn More โ
education
science
programing
AI
design
art
As a scientist, I am always eager to find the joy when learning new technology and science. The knowledge can be obtained from books, the internet, during the communication and doing research. Teaching is a way of communication between you and your knowledge. I believe it is the best way to make you to think about the fundamental of knowledge. It always raises the issue and leads you to solve it. Thus, I try my best to achieve this thought, if the chance comes. The Popular science is the topic I love to be involved in.
Data science is the field I am interested and correlated to my researches, especially the machine learning. Thus, I spent several months to study many nice materials. I also made two tutorials with my background knowledge and joined the kaggle competition to apply the learned techniques in the real case.
On the other hand, Software includes the side projects for the packages or programing languages. During the time at CERN, I developed a graphic user interface (GUI) for the data acquisition system (DQA) with python package "tkinter".
The Design/Art shows my habit and profession in art.
scikit-learn
numpy
pandas
iPython-notebook
LATEX
theano
EDA
regression
clustering
scikit-learn
numpy
pandas
AI
machine learning
neural network
deeplearning
algorithm
data structure
statistics
LATEX
geostatistics
LATEX
Adobe
Photoshop
Illustrator
GIMP
Learn More โ
Learn More โ