all AI news
Need for speed: optimizing Facebook-Prophet fit method to run 20X faster
May 10, 2022, 3:06 p.m. | Oren Matar
Towards Data Science - Medium towardsdatascience.com
Simplifying the Bayesian model
This is the second part of a series about optimizing the internal mechanism of Prophet. Part one is not a prerequisite to understand this part, but it is recommended.
Since I released part one, the number of downloads of the Prophet package reached 30 million. It is one of the most common time series forecasting packages out there. Despite not being the most accurate algorithm, it works relatively well out of the box, but still allows …
bayesian-statistics facebook facebook-prophet feature engineering prophet regulation time series forecasting
More from towardsdatascience.com / Towards Data Science - Medium
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US