Misuses of Statistics: Examples and Solutions
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, ouliers, regression Python, R, Tensorflow, SVM, data reduction, feature selection, experimental design, time series, cross-validation, model fitting, dataviz, and many more. To keep receiving these articles, sign up on DSC. Previous entries are listed below the picture.
Misuses of Statistics: Examples and Solutions
- The Deadly Data Science Sin of Confirmation Bias
- How to Lie with Visualizations: Statistics, Causation vs Correlation, and Intuition!
- The 8 worst predictive modeling techniques
- 22 tips for better data science
- Why Media Bias Has Nowhere to Run and Hide from Data Science
- The seven deadly sins of statistical misinterpretation, and how to avoid them
- Tutorial: How to detect spurious correlations, and how to find the real ones
- How and Why: Decorrelate Time Series
- The curse of big data
- Biased vs Unbiased: Debunking Statistical Myths
- 7 Common Biases That Skew Big Data Results
- Spurious correlations: 15 examples ++
Related Articles
- 15 Deep Learning Tutorials
- 16 Great IoT Articles Published in 2016
- 24 Core Articles About Data Science
- 11 Great Hadoop, Spark and Map-Reduce Articles
- A Plethora of Data Set Repositories
- Four Great Pictures Illustrating Machine Learning Concepts
- 14 Great Articles and Tutorials on Clustering
- 13 Great Articles and Tutorials about Correlation
- 26 Great Articles and Tutorials about Regression Analysis
- 10 Articles and Tutorials about Outliers
- 21 Great Articles and Tutorials on Time Series
- 15 Amazing Infographics and Other Visual Tutorials
Recent Comments