AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Distributed Computing Techniques for Distributed Forecasting Problems
Not so many forecasters are working on distributed systems. We really need to make this gap between forecastin astology and the distributed system our distributed models are some examples that make it possible to make sordid forecast in theory works industrylever distributid systems. In many distributed computing problems, you have to be very smart about how you partition your data. For example, if you work with h t f s, that is ha dop distributed five, usually you have your chunk size at is 128 magbis.