HOME > 상세정보

상세정보

Machine learning for time-series with Python : forecast, predict, and detect anomalies with state-of-the-art machine learning methods

Machine learning for time-series with Python : forecast, predict, and detect anomalies with state-of-the-art machine learning methods (1회 대출)

자료유형
단행본
개인저자
Auffarth, Ben.
서명 / 저자사항
Machine learning for time-series with Python : forecast, predict, and detect anomalies with state-of-the-art machine learning methods / Ben Auffarth.
발행사항
Birmingham :   Packt Publishing,   2021.  
형태사항
xv, 352 p. : ill. ; 24 cm.
총서사항
Expert insight
ISBN
9781801819626
일반주기
Includes index.  
일반주제명
Machine learning. Time-series analysis --Data processing. Time-series analysis --Computer programs. Python (Computer program language).
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 R 서비스 M

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

관련분야 신착자료

Kneusel, Ronald T (2022)
한국교육학술정보원 (2022)