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A bilingual (English/Chinese) concise tutorial on applied transfer learning, hosted by Jindong Wang. It includes LaTeX source for a compact handbook covering theory, algorithms, surveys, and code in MATLAB and Python.
Features
- Comprehensive overview of transfer learning theory and algorithms
- Tutorials in both MATLAB and Python with working examples
- Covers domain adaptation, generalization, few-shot, multi‑task learning
- LaTeX source code for easy customization and citation
- Includes BibTeX references and PDF generation automation
- Community‑driven updates, CI via GitHub Actions
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