Applied Time Series Analysis and Forecasting with Python
Livre Ecrit par: Petukhina, Alla ; Huang, Changquan ; Publié en: 2022
Edition:
Cham (Bavière, Allemagne):
Springer
Langue:
Anglais
Collation:
1 Vol. (X, 372 p.) ill.
ISBN: 9783031135842
Thème
Mathématiques
Mots clés:
Time Series Analysis
Python
Forecasting
Big Data Analysis
Data Visualization
Machine Learning for Time Series
Artificial intelligence
Stationary Time Series
Nonstationary Time Series
