Many things that we think of as exponential functions will actually follow an s-curve. COVID-19 cases, for instance, will eventually become an s-curve because otherwise, the system would reach infinity. This is a short and clear post that shows why s-curves are so hard to model.
I really enjoyed this short blog entry which makes a lot of sense. I'm sure we can all agree with Constance's observations.
This is a blog containing data related news and information that I find interesting or relevant. Links are given to original sites containing source information for which I can take no responsibility. Any opinion expressed is my own.
Showing posts with label FORECASTING. Show all posts
Showing posts with label FORECASTING. Show all posts
Friday, 1 May 2020
Tuesday, 7 March 2017
Prophet: forecasting at scale by Sean J. Taylor and Ben Letham via Facebook Research
Facebook is open sourcing Prophet, a forecasting tool available in Python and R. Forecasting is a data science task that is central to many activities within an organisation. For instance, large organisations like Facebook must engage in capacity planning to efficiently allocate scarce resources and goal setting in order to measure performance relative to a baseline.
This is fascinating.
This is fascinating.
Labels:
DATA,
FORECASTING,
OPEN SOURCE,
PROPHET,
PYTHON,
R
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