Time Series Forecasting Using Foundation Models [Audiobook]

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Time Series Forecasting Using Foundation Models [Audiobook]

English | 2025 | 9781633435896AU | MP3@192 kbps | 5h 26m | 583 MB


Make accurate time series predictions with powerful pretrained foundation models!

You don't need to spend weeks-or even months-coding and training your own models for time series forecasting. Time Series Forecasting Using Foundation Models shows you how to make accurate predictions using flexible pretrained models.

In Time Series Forecasting Using Foundation Models you will discover

The inner workings of large time models
Zero-shot forecasting on custom datasets
Fine-tuning foundation forecasting models
Evaluating large time models

Time Series Forecasting Using Foundation Models teaches you how to do efficient forecasting using powerful time series models that have already been pretrained on billions of data points. You'll appreciate the hands-on examples that show you what you can accomplish with these amazing models. Along the way, you'll learn how time series foundation models work, how to fine-tune them, and how to use them with your own data.

About the Technology
Time-series forecasting is the art of analyzing historical, time-stamped data to predict future outcomes. Foundational time series models like TimeGPT and Chronos, pre-trained on billions of data points, can now effectively augment or replace painstakingly-built custom time-series models.

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