Forecasting Time Series

Explore the advantages and limitations of different forecasting techniques for time series data, including neural networks, hidden Markov models, and Arima. Discover why neural networks like long short term memory (LSTM) are often more effective for forecasting than traditional methods like Arima, especially for nonlinear and multivariate time series data.