Time Series Forecasting Using Foundation Models

Time Series Forecasting Using Foundation Models

Predict the future with unprecedented accuracy and lead the next wave of predictive analytics. Time Series Forecasting Using Foundation Models provides a definitive, cutting-edge roadmap to the evolution of data science. Learn how to move beyond traditional statistical models to high-performance, pre-trained foundation models—bridging the gap between historical data and actionable future insights—ensuring your organization can navigate market volatility and operational demands with machine-learning precision.

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What You Will Learn:

Foundation Models for Time Series: Master the core architectures of Transformer-based models and how they differ from classical methods like ARIMA or Prophet.

Zero-Shot & Few-Shot Forecasting: Step-by-step guidance on utilizing pre-trained models to generate accurate forecasts for new datasets with minimal training time.

Fine-Tuning & Customization: Discover how to adapt large-scale foundation models to your specific industry needs, from retail demand to financial market trends.

Scaling Predictive Pipelines: Learn advanced techniques for deploying and monitoring automated forecasting systems that scale across enterprise-level data environments.

Who This Book is For: This professional-grade guide is essential for Data Scientists, ML Engineers, and Quantitative Analysts. It is an invaluable resource for any technical lead—including those managing e-commerce inventory or strategic financial analysis—aiming to leverage the latest AI breakthroughs to gain a competitive advantage in 2026.

Product Details:

Format: Digital PDF Download

Author: Marco Peixeiro

Publisher: Manning Publications

ISBN-13: 9781633435896

ISBN-10: 163343589X