Time Series Forecasting Using Generative AI
Time Series Forecasting Using Generative AI: Leveraging AI for Precision Forecasting
English | 2025 | ASIN: B0DQC953BV | 231 Pages | PDF EPUB (True) | 21 MB
English | 2025 | ASIN: B0DQC953BV | 231 Pages | PDF EPUB (True) | 21 MB
The book covers a wide range of topics, starting with an overview of Generative AI, where readers gain insights into the history and fundamentals of Gen AI with a brief introduction to large language models. The subsequent chapter explains practical applications, guiding readers through the implementation of diverse neural network architectures for time series analysis such as Multi-Layer Perceptrons (MLP), WaveNet, Temporal Convolutional Network (TCN), Bidirectional Temporal Convolutional Network (BiTCN), Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), Deep AutoRegressive(DeepAR), and Neural Basis Expansion Analysis(NBEATS) using modern tools.