This resource is part of a series on specific topics related to data science: regression, clustering, neural networks, deep learning, Hadoop, decision trees, ensembles, correlation, outliers, regression, Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, dataviz, AI and many more. To keep receiving these articles, sign up on DSC.
- Self-correcting Random Walks
- How to Detect if Numbers are Random or Not
- Nice Generalization of the K-NN Clustering Algorithm
- How and Why: Decorrelate Time Series
- Neutralizing Outliers in Any Dimension
- The Fundamental Statistics Theorem Revisited
- Distribution of Arrival Times for Extreme Events
- Zipf’s law
- Forecasting meteorite hits
- Twin points in random patterns +
- 88 percent of all integers have a factor under 100
- A Beautiful Probability Theorem
- Data Scientist Breaks State Monopoly on Lotteries
- The art and (data) science of leveraging economic bubbles
- Mars Craters: An Interesting Stochastic Geometry Problem
- The Collatz Conjecture
- Computing the Average Rotational Speed of Earth
Source: article flagged with a +
