Time Series Forecasting Using Foundation Models
A

Time Series Forecasting Using Foundation Models

Machine learning
time series forecasting foundation models transformers machine learning N-BEATS TimeGPT LLM
Author
Marco Peixeiro
Publisher
Manning Publications
Year
2026
Language
English
54
Rate this book

To read the book, log in / register

Preview fragment

Similar books

Time Series Forecasting in Python

Time Series Forecasting in Python

Marco Peixeiro

Time Series Forecasting Using Generative AI: Leveraging AI for Precision Forecasting

Time Series Forecasting Using Generative AI: Leveraging AI for Precision Forecasting

Banglore Vijay Kumar Vishwas, Sri Ram Macharla

Developing Time Series Forecasting Models with Generative Artificial Intelligence

Developing Time Series Forecasting Models with Generative Artificial Intelligence

Juan Morales-Garcia, Antonio Llanes, Francisco Arcas-Tunez, Fernando Terroso-Saenz

Modern Time Series Forecasting with Python. Second Edition

Modern Time Series Forecasting with Python. Second Edition

Manu Joseph, Jeffrey Tackes

Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

Deep Learning for Time Series Cookbook: Use PyTorch and Python recipes for forecasting, classification, and anomaly detection

Vitor Cerqueira, Luís Roque

Advanced Forecasting with Python: Mastering Modern Forecasting Techniques with Machine Learning and Cloud Tools, Second Edition

Advanced Forecasting with Python: Mastering Modern Forecasting Techniques with Machine Learning and Cloud Tools, Second Edition

Joos Korstanje

Building Statistical Models in Python: Develop useful models for regression, classification, time series, and survival analysis

Building Statistical Models in Python: Develop useful models for regression, classification, time series, and survival analysis

Huy Hoang Nguyen, Paul N Adams, Stuart J Miller

Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow

Building Machine Learning Pipelines: Automating Model Life Cycles with TensorFlow

Hannes Hapke, Catherine Nelson

Machine Learning Platform Engineering: Build an internal developer platform for ML and AI systems

Machine Learning Platform Engineering: Build an internal developer platform for ML and AI systems

Benjamin Tan Wei Hao, Shanoop Padmanabhan, Varun Mallya

Azure Machine Learning

Azure Machine Learning

Jeff Barnes