A definition of data science
"Data science comprises three distinct and overlapping areas: the skills of a statistician who knows how to model and summarize datasets (which are growing ever larger); the skills of a computer scientist who can design and use algorithms to efficiently store, process, and visualize this data; and the domain expertise—what we might think of as "classical" training in a subject—necessary both to formulate the right questions and to put their answers in context."
Source:Drew Conway
Classes
- Attended: Statistics and Numerical Methods, Advanced Machine Learning, Big Data Systems, Big Data Analytics, Data visualization
- As an auditor: Meituan Big Data Practice and Application, Database, Deep learning
Projects
- Classification and identification of breast cancer cells: Computer vision, CNN
- Classical Chinese to Vernacular Translation: NLP — RNN, LSTM, Transformer
- Handwritten Character Recognization: Computer vision, Omniglot, ANN, CNN
- Recommendation system: Collaborative Filtering, Matrix Factorization
- Analysis of the Collaborative Behavior of Social Groups in Sociology: ANOVA, Sampling, Regression, Basic analysis skills, Visualization, Dealing with real data
- Research and development of big data management and enabling platform for iron industry (preliminary): Data reading, data processing, API construction, calling API interface for visual display
- Visualization of world poverty distribution: D3.js
- 2022 WeChat Big Data Challenge - Multimodal Short-Video Classification: NLP — transformer, pre-training