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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 (15 pages)

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

Author: LM

Created and maintained by L Ma. Acknowledgement: Hugo, Bulma, KausalFlow. love.
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