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My Reading Notes

A collection of my reading notes
Data Science
#Machine Learning #Data Science #Statistical Learning
Active

I share my reading notes on some books.

Reading Notes (16 pages)

  • The Grammar of Graphics
      • Overcoming catastrophic forgetting in neural networks
      • Normalizing Flows: An Introduction and Review of Current Methods
      • Information Theory and Statistical Mechanics
      • Schaum's Outline of Theories and Problems of Elements of Statistics I and II
      • Data Mining: Concepts and Techniques
      • Improving Document Ranking with Dual Word Embeddings
      • Human Graphical Perception of Quantitative Information in Data Visualization
      • Popularity versus similarity in growing networks
      • Graph Creation
      • The Art of Data Science
      • Working Memory and Brain Waves
      • MTGNN
    • Reading Notes
        • StemGNN
        • Self-supervised Learning: Generative or Constrastive
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      Author: LM

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