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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)

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

      Author: LM

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