Machine learning for time-series with Python : forecast, predict, and detect anomalies with state-of-the-art machine learning methods
| 000 | 00000cam u2200205 a 4500 | |
| 001 | 000046136018 | |
| 005 | 20221206181335 | |
| 008 | 221206s2021 enka 001 0 eng d | |
| 020 | ▼a 9781801819626 | |
| 035 | ▼a (KERIS)BIB000016066868 | |
| 040 | ▼a 244009 ▼c 244009 ▼d 211009 | |
| 082 | 0 4 | ▼a 006.31 ▼2 23 |
| 084 | ▼a 006.31 ▼2 DDCK | |
| 090 | ▼a 006.31 ▼b A918m | |
| 100 | 1 | ▼a Auffarth, Ben. |
| 245 | 1 0 | ▼a Machine learning for time-series with Python : ▼b forecast, predict, and detect anomalies with state-of-the-art machine learning methods / ▼c Ben Auffarth. |
| 260 | ▼a Birmingham : ▼b Packt Publishing, ▼c 2021. | |
| 300 | ▼a xv, 352 p. : ▼b ill. ; ▼c 24 cm. | |
| 490 | 1 | ▼a Expert insight |
| 500 | ▼a Includes index. | |
| 650 | 0 | ▼a Machine learning. |
| 650 | 0 | ▼a Time-series analysis ▼x Data processing. |
| 650 | 0 | ▼a Time-series analysis ▼x Computer programs. |
| 650 | 0 | ▼a Python (Computer program language). |
| 830 | 0 | ▼a Expert insight. |
| 945 | ▼a ITMT |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고6층/ | 청구기호 006.31 A918m | 등록번호 111872336 | 도서상태 대출중 | 반납예정일 2023-03-08 | 예약 예약가능 | 서비스 |
컨텐츠정보
목차
Table of Contents Introduction to Time-Series with Python Time-Series Analysis with Python Preprocessing Time-Series Introduction to Machine Learning for Time Series Forecasting with Moving Averages and Autoregressive Models Unsupervised Methods for Time-Series Machine Learning Models for Time-Series Online Learning for Time-Series Probabilistic Models for Time-Series Deep Learning for Time-Series Reinforcement Learning for Time-Series Multivariate Forecasting