
Time Series Models in Machine Learning - ML 087
Adventures in Machine Learning
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Adding a Coefficient to a Seasonal Model
Charles Max Wood: ARIMA is a class of time series models that incrementally add terms. He says the most simple one is auto-aggressive, and we just lag prior values. The next step in complexity is adding moving average term which adds a coefficient to that. If you're interested in talking to me about taking your career to the next level, go to topendevs.com slash coaching.
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