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Forecasting at scale

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Aquí el paper de Taylor @seanjtaylor y Letham https://t.co/fK5dCfR8RW Forecasting at Scale
Get the open-source software — Prophet: https://t.co/lKxllluTzy Read a preprint version: https://t.co/Nqv2krvn48
@dom_woodman @jroakes The prophet paper https://t.co/jggblry4t8 talks a bit about it but that isn't the main focus so prob better resources elsewhere. Basic idea is that if you already have a large market share then you can't grow that fast
Forecasting at scale prophet by Facebook https://t.co/sLHQKse2eC
Forecasting at scale https://t.co/PUlcUBtgM1 via @PeerJPreprints
Enjoying reading https://t.co/WIdIIuTXwY. I especially like the Fourier Series-base curve-fitting approach. Seems more flexible than dummying out days as features.
275 days ago
RT @RosanaFerrero: Practical Data Science for Stats - a PeerJ Collection: Forecasting at scale https://t.co/xIMlEA7fg7
Practical Data Science for Stats - a PeerJ Collection: Forecasting at scale https://t.co/xIMlEA7fg7
RT @jrauser: Reading the paper (https://t.co/glCtHcNLiY), I agree that with type-a data science, the scaling problems are all about humans,…
283 days ago
Reading the paper (https://t.co/glCtHcNLiY), I agree that with type-a data science, the scaling problems are all about humans, not machines.
Forecasting at Scale (with Facebook's Prophet) https://t.co/PCe4G17FRG via @PeerJPreprints
317 days ago
Beagle Sniffing out the lastest News Forecasting at Scale [PeerJ Preprints] https://t.co/GNMbCyAtKA, see more https://t.co/sa5OgR266h
RT @v_vashishta: Forecasting at Scale https://t.co/y1S3pfStn4 #DataScience
RT @v_vashishta: Forecasting at Scale https://t.co/y1S3pfStn4 #DataScience
RT @v_vashishta: Forecasting at Scale https://t.co/y1S3pfStn4 #DataScience
RT @v_vashishta: Forecasting at Scale https://t.co/y1S3pfStn4 #DataScience
317 days ago
RT @v_vashishta: Forecasting at Scale https://t.co/y1S3pfStn4 #DataScience
317 days ago
RT @v_vashishta: Forecasting at Scale https://t.co/y1S3pfStn4 #DataScience
RT @v_vashishta: Forecasting at Scale https://t.co/y1S3pfStn4 #DataScience
RT @v_vashishta: Forecasting at Scale https://t.co/y1S3pfStn4 #DataScience
RT @v_vashishta: Forecasting at Scale https://t.co/y1S3pfStn4 #DataScience
RT @v_vashishta: Forecasting at Scale https://t.co/y1S3pfStn4 #DataScience
RT @v_vashishta: Forecasting at Scale https://t.co/y1S3pfStn4 #DataScience
RT @v_vashishta: Forecasting at Scale https://t.co/y1S3pfStn4 #DataScience
RT @v_vashishta: Forecasting at Scale https://t.co/y1S3pfStn4 #DataScience
NOT PEER-REVIEWED
"PeerJ Preprints" is a venue for early communication or feedback before peer review. Data may be preliminary.

Additional Information

Competing Interests

Sean J Taylor and Benjamin Letham are both employees at Facebook, Inc.

Author Contributions

Sean J Taylor analyzed the data, wrote the paper, prepared figures and/or tables, performed the computation work, reviewed drafts of the paper.

Benjamin Letham analyzed the data, wrote the paper, prepared figures and/or tables, performed the computation work, reviewed drafts of the paper.

Data Deposition

The following information was supplied regarding data availability:

All code is available in our open source repository: https://github.com/facebookincubator/prophet

Funding

The authors received no funding for this work.


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