فهرست مطالب

• About the Authors
• About the Technical Reviewer
• Acknowledgments
• Introduction
• Chapter 1: Time Series Meets Generative AI
• What Sparked Interest in Time Series?
• Introduction to Time Series Analysis
• 1.8 References
• Chapter 2: Neural Networks for Time Series
• 2 Introduction to Perceptron
• 2.1 Technical Overview of a Perceptron
• 2.2 What Is Multilayer Perceptron?
• 2.3 CNN-Based Architecture for Time Series
• 2.5 Neural Networks for Sequential Data
• 2.6 Neural Networks Based on Autoregression
• 2.7 Neural Basis Expansion Analysis
• 2.8 Summary
• 2.9 References
• Chapter 3: Transformers for Time Series
• 3 Introduction to Transformers
• 3.1 Technical Overview of Transformers
• 3.2 Vanilla Transformer
• 3.3 Inverted Transformers
• 3.4 DLinear
• 3.5 NLinear
• 3.6 Patch Time Series Transformer
• 3.7 Summary
• 3.8 References
• Chapter 4: Time-LLM: Reprogramming Large Language Model
• 4 Fine-Tuning vs. Reprogramming
• 4.1 Technical Overview of Time-LLM
• 4.2 Time-LLM in Action
• 4.3 Summary
• 4.4 Reference
• Chapter 5: Chronos: Pre-trained Probabilistic Time Series Model
• 5 Introduction
• 5.1 Technical Overview of Chronos
• 5.2 Time Series Tokenization
• 5.3 Training
• 5.4 Inference
• 5.5 Chronos in Action
• 5.6 Summary
• 5.7 Reference
• Chapter 6: TimeGPT: The First Foundation Model for Time Series
• 6 Introduction
• 6.1 Technical Overview of TimeGPT
• 6.2 TimeGPT in Action
• 6.3 Summary
• 6.4 References
• Chapter 7: MOIRAI: A Time Series LLM for Universal Forecasting
• 7 Introduction
• 7.1 Challenges with Building a Universal Forecasting Model
• 7.2 Technical Overview of MOIRAI
• 7.3 MOIRAI in Action
• 7.4 Summary
• 7.5 Reference
• Chapter 8: TimesFM: Time Series Forecasting Using Decoder-Only Foundation Model
• 8 Introduction
• 8.1 Technical Overview of TimesFM
• 8.2 TimesFM in Action
• 8.3 Summary
• 8.4 Conclusion
• 8.5 Reference
• Index