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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

Tools