I share my reading notes on some books.
My Reading Notes
A collection of my reading notes
#Machine Learning #Data Science #Statistical Learning
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Reading Notes (14 pages)
- Reading Notes
- 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