Description
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
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