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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Akshay R. Kulkarni | - |
dc.date.accessioned | 2024-06-25T04:08:02Z | - |
dc.date.available | 2024-06-25T04:08:02Z | - |
dc.date.issued | 2023 | - |
dc.identifier.uri | http://thuvienso.thanglong.edu.vn//handle/TLU/10307 | - |
dc.description.abstract | This book teaches the practical implementation of various concepts for time series analysis and modeling with Python through problem-solution-style recipes, starting with data reading and preprocessing. It begins with the fundamentals of time series forecasting using statistical modeling methods like AR (autoregressive), MA (moving-average), ARMA (autoregressive moving-average), and ARIMA (autoregressive integrated moving-average). | vi |
dc.language.iso | en | vi |
dc.publisher | New York, NY: Apress L. P | vi |
dc.subject | Machine learning Computer programs | Python (Computer program language) | Học máy Chương trình máy tính | Python (Ngôn ngữ chương trình máy tính) | vi |
dc.title | Time Series Algorithms Recipes Implement Machine Learning and Deep Learning Techniques with Python | vi |
dc.type | Sách/Book | vi |
Appears in Collections | 1-Trí tuệ nhân tạo |
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