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 ...
Stephan Kolassa, Bahman Rostami-Tabar, and Enno Siemsen
Forecasting Impact
53 minutes
2 years ago
Stephan Kolassa, Bahman Rostami-Tabar, and Enno Siemsen
In this episode, we host three scientists, Dr. Stephan Kolassa, Dr. Bahman Rostami-Tabar, and Prof. Enno Siemsen. They are the authors of "Demand Forecasting for Executives and Professionals." In this episode, we delve into discussions about their book. We discuss their motivations for writing this unique guide for professionals and the need for such a book. We explore the pivotal role of forecasting in business decisions and unpack key principles and methodologies. Our conversation navigates...
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 ...
