Prediction is hard

| Science and technology | 0 Comments

Some interesting things I learned today on my road to a successful career in data science:

  • Correlation does not imply causation.
  • If X predicts Y it does not mean that X causes Y.
  • Prediction is hard, especially about the future.
  • Causal relationships are usually identified as average effects, but may not apply to every individual.
  • The most important thing in data science is the question, the second most important is the data.
  • Often the data will limit or enable the questions, but having data alone won't save you if you don't have a question.
  • Beware of data dredging.

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Data Science Specialization

"The data may not contain the answer. The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data... no matter how big the data are."

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This personal weblog was started way back on July 21, 2001 which means that it is 7-21-2001 old.

So far this blog contains no less than 2279 entries and as many as 1881 comments.

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Graduated from Stanford 6-5-1979 ago.

Kiffin Rockwell was shot down and killed 9-23-1916 ago.

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Began well-balanced and healthy life style 1-8-2013 ago.

My father passed away 10-20-2000 ago.

First met Thea in Balestrand, Norway 6-14-1980 ago.