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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Categories

Machine Learning

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Additional Project Details

Registered

2025-08-06
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