Advanced forecasting with Python : with state-of-the-art-models including LSTMs, Facebook's Prophet, and Amazon's DeepAR (Record no. 661986)

MARC details
000 -LEADER
fixed length control field 01650nam a22001817a 4500
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9781484283400
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 1
Classification number 005.133
Item number KOR-A
100 ## - MAIN ENTRY--AUTHOR NAME
Personal name Korstanje, Joos
245 ## - TITLE STATEMENT
Title Advanced forecasting with Python : with state-of-the-art-models including LSTMs, Facebook's Prophet, and Amazon's DeepAR
Statement of responsibility, etc By Joos Korstanje
250 ## - EDITION STATEMENT
Edition statement 1
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher Apress,
Year of publication c2021.
300 ## - PHYSICAL DESCRIPTION
Number of Pages i-xvii+296P.
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1: Models for Forecasting<br/>Chapter 2: Model Evaluation for Forecasting<br/>Chapter 3: The AR Model<br/>Chapter 4: The MA model<br/>Chapter 5: The ARMA model<br/>Chapter 6: The ARIMA model<br/>Chapter 7: The SARIMA Model<br/>Chapter 8: The VAR model<br/>Chapter 9: The Bayesian VAR model<br/>Chapter 10: The Linear Regression model<br/>Chapter 11: The Decision Tree model<br/>Chapter 12: The k-Nearest Neighbors VAR model<br/>Chapter 13: The Random Forest Model<br/>Chapter 14: The XGBoost model<br/>Chapter 15: The Neural Network model<br/>Chapter 16: Recurrent Neural Networks<br/>Chapter 17: LSTMs<br/>Chapter 18: Facebook's Prophet model<br/>Chapter 19: Amazon's DeepAR Model<br/>Chapter 20: Deep State Space Models<br/>Chapter 21: Model selection
520 ## - SUMMARY, ETC.
Summary, etc :Cover all the machine learning techniques relevant for forecasting problems, ranging from univariate and multivariate time series to supervised learning, to state-of-the-art deep forecasting models such as LSTMs, recurrent neural networks, Facebook's open-source Prophet model, and Amazon's DeepAR model. Rather than focus on a specific set of models,
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Electronic books, Machine learning Python, Time-series analysis Data processing
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://www.worldcat.org/title/1259625412
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Lost status Damaged status Not for loan Home Library Current Location Date acquired Full call number Accession Number Price effective from Koha item type Shelving location
        Dept. of Computational Biology and Bioinformatics Dept. of Computational Biology and Bioinformatics 31/10/2022 005.133 KOR-A DCB4167 31/10/2022 Book  
        Dept. of Futures Studies Dept. of Futures Studies 19/05/2023 005.133 KOR DFS4564 19/05/2023 Book General Stacks