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OverviewFull Product DetailsAuthor: Marco PeixeiroPublisher: Manning Publications Imprint: Manning Publications Dimensions: Width: 18.80cm , Height: 1.40cm , Length: 23.60cm Weight: 0.450kg ISBN: 9781633435896ISBN 10: 163343589 Pages: 256 Publication Date: 25 December 2025 Audience: Professional and scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: In Print This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsPART 1: THE RISE OF FOUNDATION MACHINE LEARNING MODELS 1 UNDERSTANDING FOUNDATION MODELS 2 BUILDING A FOUNDATION MODEL PART 2: FOUNDATION MODELS DEVELOPED FOR FORECASTING 3 FORECASTING WITH TIMEGPT 4 ZERO-SHOT PROBABILISTIC FORECASTING WITH LAG-LLAMA 5 LEARNING THE LANGUAGE OF TIME WITH CHRONOS 6 MOIRAI: A UNIVERSAL FORECASTING TRANSFORMER 7 DETERMINISTIC FORECASTING WITH TIMESFM PART 3: LEVERAGE LLMS FOR TIME SERIES FORECASTING 8 FORECASTING AS A LANGUAGE TASK 9 REPROGRAM AN LLM FOR FORECASTING PART 4: CAPSTONE PROJECT 10 CAPSTONE PROJECT: FORECASTING DAILY VISITS TO A BLOGReviewsAuthor InformationMarco Peixeiro is a renowned data-science educator known for demystifying complex forecasting techniques. With years developing open-source libraries at Nixtla, Marco brings clarity, practicality, and enthusiasm to every page. He distills cutting-edge research into step-by-step guidance that helps readers deliver accurate forecasts quickly. Tab Content 6Author Website:Countries AvailableAll regions |
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