Time Series Forecasting Using Foundation Models, Video Edition
 

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.
About the Book
Time Series Forecasting Using Foundation Models explores the architecture of large time models and shows you how to use them to generate fast, accurate predictions. You'll learn to fine-tune time models on your own data, execute zero-shot probabilistic forecasting, point forecasting, and more. You'll even find out how to reprogram an LLM into a time series forecaster-all following examples that will run on an ordinary laptop.
What's Inside
How large time models work
Zero-shot forecasting on custom datasets
Fine-tuning and evaluating foundation models
About the Reader
For data scientists and machine learning engineers familiar with the basics of time series forecasting theory. Examples in Python.
About the Author
Marco Peixeiro builds cutting-edge open-source forecasting Python libraries at Nixtla. He is the author of Time Series Forecasting in Python.
Screenshot

hello88vnuk
 

Hello88 cung cấp tỷ lệ cược, thống kê trận đấu và dự đoán kết quả chính xác. Hệ thống cập nhật liên tục, giúp người dùng không bỏ lỡ bất kỳ chi tiết nào. Giao diện dễ sử dụng, trực quan, tốc độ cao, phù hợp với mọi thiết bị.
Địa chỉ: 103 P. Phúc Xá, Phúc xá, Ba Đình, Hà Nội 100000, Việt Nam
SĐT: 035599990
Website: https://hello88vn.uk.net/
Người sáng lập/CEO:
Các dịch vụ cung cấp: Thống kê – phân tích dữ liệu bóng đá, Cập nhật tin tức thể thao, Thông tin về casino online & trò chơi giải trí
Điểm khác biệt: Phân tích trung tính, dễ hiểu, Giao diện tối ưu trên mọi thiết bị, Hỗ trợ người dùng 24/7
Hastag: #Hello88 #tylekeo #soikeo #bongda #giaitrixtructuyen
https://chodilinh.com/members/hello88vnuk.258273/#about
https://www.noifias.it/hello88vnuk
http://www.ssnote.net/link?q=https://hello88vn.uk.net/
https://socialgem.net/hello88vnuk
http://mura.hitobashira.org/index.php?hello88vnuk
https://quicknote.io/78ba4540-d49e-1...f-031aab53a193
https://javabyab.com/user/hello88vnuk
https://biolinku.co/hello88vnuk
https://directoryanalytic.com/details.php?id=381009
https://4fund.com/profile/hello88-vnuk-562957
https://mentorship.healthyseminars.c...s/hello88vnuk/
https://6giay.vn/members/hello88vnuk.87271/#about
https://buckeyescoop.com/community/m...k.50588/#about
https://cloutapps.com/hello88vnuk