Sequential Modeling
Sequential Modeling is a solution for analyzing and predicting patterns in ordered data sequences and time series.
Key Capabilities Used
Features
- Sequence prediction
- Temporal dependencies
- State tracking
- Pattern recognition
- Long-term memory
Use Cases
- Time series forecasting
- Sequence generation
- Anomaly detection
- Process modeling
- Event prediction
Technologies
- Recurrent Neural Networks
- LSTM/GRU networks
- Temporal CNNs
- State Space Models
- Hidden Markov Models