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In this episode, we had the privilege of hosting Mitchell O'Hara-Wild, data scientist and lead developer of the widely used and highly acclaimed forecasting packages, Fable and Feasts.
Mitchell is a PhD candidate at Monash University, Australia. He shared insights on a wide range of topics, including his journey into data science and forecasting, the reasons behind the development of the popular Fable package, and his views on AI in forecasting.
We also discussed Mitchell’s research on DAGs (Directed Acyclic Graphs) in the context of forecast reconciliation, as well as his consulting experience forecasting COVID-19 cases in Australia. Moreover, we had the opportunity to talk about his experience delivering workshops to researchers and practitioners through the IIF's Forecasting for Social Good community (F4SG) and at useR! conferences.
Listen to this podcast and learn more about Mitchell’s remarkable work in the realm of forecasting, software development, and the future of forecasting in the era of AI.
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In this episode, we had the privilege of hosting Mitchell O'Hara-Wild, data scientist and lead developer of the widely used and highly acclaimed forecasting packages, Fable and Feasts.
Mitchell is a PhD candidate at Monash University, Australia. He shared insights on a wide range of topics, including his journey into data science and forecasting, the reasons behind the development of the popular Fable package, and his views on AI in forecasting.
We also discussed Mitchell’s research on DAGs (Directed Acyclic Graphs) in the context of forecast reconciliation, as well as his consulting experience forecasting COVID-19 cases in Australia. Moreover, we had the opportunity to talk about his experience delivering workshops to researchers and practitioners through the IIF's Forecasting for Social Good community (F4SG) and at useR! conferences.
Listen to this podcast and learn more about Mitchell’s remarkable work in the realm of forecasting, software development, and the future of forecasting in the era of AI.
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