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My Reading Notes

A collection of my reading notes

#Machine Learning #Data Science #Statistical Learning

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I share my reading notes on some books.

Reading Notes (16 pages)

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

All Reading Notes Pages

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