Time Series Forecasting Using Generative AI by Sri Ram Macharla (.PDF)

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Time Series Forecasting Using Generative AI: Leveraging AI for Precision Forecasting by Banglore Vijay Kumar Vishwas, Sri Ram Macharla
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Overview: “Time Series Forecasting Using Generative AI introduces readers to Generative Artificial Intelligence (Gen AI) in time series analysis, offering an essential exploration of cutting-edge forecasting methodologies.” 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. We were looking for a resource that would equip us with the theoretical understanding of the models and practical implementation with Python sample code.
Genre: Non-Fiction > Tech & Devices

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