MLOps and Dockerisation in Forecasting with Rami Krispin
About this episode
Rami Krispin discusses his journey in forecasting and data science, including his contributions to R packages and his book on time series analysis.
In this episode, we sit down with Rami Krispin, a data scientist at Apple and active producer in forecasting, to explore his journey into forecasting and data science. He shares what first sparked his interest in the field and how that passion led him to develop key contributions, including the Hands-On Time Series Analysis with R book and the TSstudio package. We discuss his motivation for writing the book, who it’s for, and how TSstudio and other R packages he has developed have helped prac...
More episodes of Forecasting Impact
- When Forecasting isn't about Accuracy with Harrison Katz of Airbnb
- Explainable Forecasting with Marco Peixeiro
- Forecasting the future of everything with Dr. Theodore Modis
- Food Bank Forecasting with Professor Lauren B. Davis
- Healthcare Product Forecasting in Africa
- Solar Forecasting with Prof. Jan Kleissl
Explore listener stats, chart rankings, contacts and more on the Forecasting Impact podcast page.