# Reading Notes

## Reading notes

# Popularity versus similarity in growing networks

Summary: Introduce geometry into the manifold of complex networks

References:
- Popularity versus similarity in growing networks

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# Data Mining: Concepts and Techniques

Summary: How data mining was done in the past

References:
- Data Mining: Concepts and Techniques

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70%

# Schaum's Outline of Theories and Problems of Elements of Statistics I and II

Summary: The basics and all of modern statistics

References:
- Schaum's Outline of Theories and Problems of Elements of Statistics I and II, by Ruth Bernstein and Stephen Bernstein

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80%

# Information Theory and Statistical Mechanics

Summary: Max entropy principle as a method to infer distributions of statistical systems

References:
- Jaynes, E. T. (1957). Information Theory and Statistical Mechanics. Physical Review, 106(4), 620–630.

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# Human Graphical Perception of Quantitative Information in Data Visualization

Summary: Data visualization caveats

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# The Art of Data Science

Summary: A nice and elegant book on data science

References:
- The Art of Data Science
- Leek, J. T., & Peng, R. D. (2015). What is the question? Science, 347(6228), 1314–1315.

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10%

# Improving Document Ranking with Dual Word Embeddings

Summary: Word2vec produces two embedding spaces, the in-embedding and out-embedding.

References:
- Nalisnick, Eric, Bhaskar Mitra, Nick Craswell, and Rich Caruana. 2016. Improving Document Ranking with Dual Word Embeddings.

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