In this episode of Forecasting Impact, hosts Mahdi Abolghasemi and Mariana Menchero speak with Marco Peixeiro, applied data scientist at Nixtla, about the growing importance of explainability in time series forecasting. Marco shares how his work bridges research and practice, from developing deep learning models in NeuralForecast to writing educational resources that make complex forecasting concepts accessible to all. We discuss how explainability builds trust in complex models, the role of ...
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In this episode of Forecasting Impact, hosts Mahdi Abolghasemi and Mariana Menchero speak with Marco Peixeiro, applied data scientist at Nixtla, about the growing importance of explainability in time series forecasting. Marco shares how his work bridges research and practice, from developing deep learning models in NeuralForecast to writing educational resources that make complex forecasting concepts accessible to all. We discuss how explainability builds trust in complex models, the role of ...
George Athanasopoulos - President of International Institute of Forecasters
Forecasting Impact
50 minutes
2 years ago
George Athanasopoulos - President of International Institute of Forecasters
In this episode, we hosted Professor George Athanasopoulos, President of the International Institute of Forecasters (IIF) and Head of the Department of Econometrics and Business Statistics at Monash University. George gave an overview of the IIF's current plans and new initiatives, including the Practitioners chapter, publishing papers in the International Journal of Applied Forecasting, the forecasting distinguished lecture series, and plans for the International Symposium on Forecast...
Forecasting Impact
In this episode of Forecasting Impact, hosts Mahdi Abolghasemi and Mariana Menchero speak with Marco Peixeiro, applied data scientist at Nixtla, about the growing importance of explainability in time series forecasting. Marco shares how his work bridges research and practice, from developing deep learning models in NeuralForecast to writing educational resources that make complex forecasting concepts accessible to all. We discuss how explainability builds trust in complex models, the role of ...
