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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
      • Working Memory and Brain Waves
      • Self-supervised Learning: Generative or Constrastive
      • Popularity versus similarity in growing networks
      • Graph Creation
    • Reading Notes
        • StemGNN
        • 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
        • Overcoming catastrophic forgetting in neural networks
        • MTGNN
        • The Art of Data Science
        • Human Graphical Perception of Quantitative Information in Data Visualization
        • Data Mining: Concepts and Techniques
        • Improving Document Ranking with Dual Word Embeddings
      All Reading Notes Pages

      Author: LM

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