- When Correlation is Better than Causation - Aug 18, 2021.
Identifying causality in an analysis isn't always practical. We show a heuristic approach for using correlations to inform decisions.
Causation, Correlation, Data Science
- 10 Must-Know Statistical Concepts for Data Scientists - Apr 21, 2021.
Statistics is a building block of data science. If you are working or plan to work in this field, then you will encounter the fundamental concepts reviewed for you here. Certainly, there is much more to learn in statistics, but once you understand these basics, then you can steadily build your way up to advanced topics.
Bayes Theorem, Correlation, Normal Distribution, P-value, Sampling, Statistics, Variance
- The Hidden Risk of AI and Big Data - Sep 20, 2019.
With recent advances in AI being enabled through access to so much “Big Data” and cheap computing power, there is incredible momentum in the field. Can big data really deliver on all this hype, and what can go wrong?
AI, Big Data, Causation, Correlation, Overfitting, Risks
- How Concerned Should You be About Predictor Collinearity? It Depends… - Aug 15, 2019.
Predictor collinearity (also known as multicollinearity) can be problematic for your regression models. Check out these rules of thumb about when, and when not, to be concerned.
Collinearity, Correlation, Linear Regression, Prediction
- From Good to Great Data Science, Part 1: Correlations and Confidence - Feb 5, 2019.
With the aid of some hospital data, part one describes how just a little inexperience in statistics could result in two common mistakes.
Correlation, Data Science, Python, Statistics
- Why Ice Cream Is Linked to Shark Attacks – Correlation/Causation Smackdown - Jan 19, 2019.
Why are soda and ice cream each linked to violence? This article delivers the final word on what people mean by "correlation does not imply causation."
Causality, Causation, Correlation, Overfitting
- Every time someone runs a correlation coefficient on two time series, an angel loses their wings - Jun 18, 2018.
We all know correlation doesn’t equal causality at this point, but when working with time series data, correlation can lead you to come to the wrong conclusion.
Correlation, Data Mining, Statistics, Time Series
- Introduction to Correlation - Feb 22, 2017.
Correlation is one of the most widely used (and widely misunderstood) statistical concepts. We provide the definitions and intuition behind several types of correlation and illustrate how to calculate correlation using the Python pandas library.
Beginners, Correlation, Datascience.com, Pandas, Python, Statistics
- Causation or Correlation: Explaining Hill Criteria using xkcd - Feb 20, 2017.
This is an attempt to explain Hill’s criteria using xkcd comics, both because it seemed fun, and also to motivate causal inference instructures to have some variety in which xkcd comic they include in lectures.
Cartoon, Causation, Correlation, Statistics, xkcd
- Eugenics – journey to the dark side at the dawn of statistics - Apr 27, 2016.
Today is the 80th anniversary of the death of Karl Pearson, one of the founding father of statistics (correlation coefficient, principal components, the p-value, and much more). He was also deeply involved with eugenics, a jarring reminder that truth often comes bundled with a measure of darkness.
Correlation, Eugenics, Karl Pearson, Statistics
- Regression & Correlation for Military Promotion: A Tutorial - Apr 13, 2016.
A clear and well-written tutorial covering the concepts of regression and correlation, focusing on military commander promotion as a use case.
Pages: 1 2
Algobeans, Correlation, Military, Regression
- Random vs Pseudo-random – How to Tell the Difference - Oct 26, 2015.
Statistical know-how is an integral part of Data Science. Explore randomness vs. pseudo-randomness in this explanatory post with examples.
Correlation, Random
- Surprising Random Correlations - May 14, 2015.
An interesting demo showing how easy it is to find surprising correlations in real data. Is German unemployment rate related to Apple Stock? Is 10-year Treasury rate related to price of Red Winter Wheat? You will be surprised.
Correlation, Overfitting, Quandl, Random
- Can noise help separate causation from correlation? - Jan 21, 2015.
How to tell correlation from causation is one of the key problems in data science and Big Data. New Additive Noise Models methods can do it with over 65% accuracy, opening new breakthrough possibilities.
arXiv, Causation, Correlation, Francois Petitjean, Noise
- Causation vs Correlation: Visualization, Statistics, and Intuition - Jan 4, 2015.
Visualizations of correlation vs. causation and some common pitfalls and insights involving the statistics are explored in this case study involving stock price time series.
Alex Jones, Causation, Correlation, Data Visualization, Statistics
- The First Law of Data Science: Do Umbrellas Cause Rain? - Jun 9, 2014.
Michael Brodie on the first law of data science, the role of data curation in Big Data analysis, and Thomas Piketty economic theories.
Causation, Confirmation Bias, Correlation, Data Curation, Michael Brodie, Piketty
- Interview: Kirk Borne, Data Scientist, GMU on Big Data in Astrophysics and Correlation vs. Causality - May 30, 2014.
We discuss how to build the best data models, significance of correlation and causality in Predictive Analytics, and impact of Big Data on Astrophysics.
Correlation, Interview, Kirk D. Borne, Predictive Analytics, Recommendations
