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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)

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

      Author: LM

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