Neural Temporal Point Processes in Production

Level up your deep learning toolkit to master irregular event streams, model continuous-time sequences, and ship real-time forecasting and anomaly detection straight to production. * **Master core point process theory** without the academic fluff * **Build RNN-, attention-, and flow-based** intensity models * **Forecast user events and transactions** in real time * **Detect sequence anomalies** directly within live production streams

3 sections ยท 13 lessons

Course outline

TPP Foundations

  1. Event Sequences
  2. Temporal Point Processes and Continuous Time
  3. Intensity Functions
  4. Likelihood Training
  5. Hawkes Processes
  6. TPP Foundations

Neural TPPs

  1. RNN Encoders
  2. Marked Events
  3. Transformer TPPs
  4. Intensity-Free Models

Production Applications

  1. Data Pipelines
  2. Activity Forecasting
  3. Anomaly Detection
  4. Evaluation Deployment

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