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From ARIMA to Transformers: My Recent Summary of Time-Series Forecasting Research and Technology
The Sequence published a nice series of articles about time-series forecasting.
Recently, I’ve been doing a lot of work in time-series forecasting and evaluating new research and technology in the space. I used some of that experience to publish a new series as part my AI newsletter: The Sequence Edge that covers traditional and novel techniques in time series forecasting. From basic methods like ARIMA to highly sophisticated methods like Transformer, this series helps you explore some of the core ideas, research and new technology frameworks relevant to time-series forecasting problems. Take a look:
These articles are part of our paid newsletter, The Sequence Edge but the price is super affordable. You can subscribe for 50% OFF using the following link:
Edge#49: an introduction to time-series forecasting models; how Uber uses neural networks to forecast during extreme events; Uber’s M3 time-series platform.
