{"product_id":"139410","title":"Practical time series analysis ","description":"\u003ccenter\u003e\u003cdiv style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/tmgdisk01.cafe24.com\/images\/vs\/4172\/sv\/3jXPBvo58lA16x4NRNtsh6xIrsLqXP.png?v=1765074788\" style=\"max-width:100%;max-height:10px\"\u003e\u003c\/div\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\u003ccenter\u003e\n\n\u003cdiv style=\"width:95%\"\u003e\n\n\u003cdiv style=\"text-align:center;font-size:30px;font-weight:bolder;line-height:1.6em\"\u003e Practical time series analysis \u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"border-bottom:1px;border-bottom-style:dotted;border-color:;padding-bottom:20px\"\u003e\u003ccenter\u003e\u003ctable align=\"center\" width=\"100%\"\u003e\u003ctbody style=\"border:0px\"\u003e\n\n\u003ctr\u003e\u003ctd align=\"center\" style=\"line-height:1.2em;text-align:center;font-size:18px;color:black;font-weight:bold;padding-bottom:20px;\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\u003ctr\u003e\u003ctd style=\"text-align:center\"\u003e\u003cimg src=\"https:\/\/image.yes24.com\/goods\/98576347\/XL\" style=\"max-width:100%;height:auto\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\n\n\n\u003c\/tbody\u003e\u003c\/table\u003e\u003c\/center\u003e\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;{split_style6}padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e Description \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;word-break:break-all;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eBook Introduction\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e\u003cdiv\u003e \u003cb\u003eAll About Time Series Analysis\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e This practical guide covers real-world time series data analysis and best practices. It covers standard statistical models like ARIMA and Bayesian state space, as well as hierarchical models, and provides a practical guide to the entire modern time series data modeling pipeline.\u003cbr\u003e By leveraging the statistical and machine learning techniques in this book, you'll learn how to solve data engineering and analytics challenges and gain insight into the core of time-series data.\u003cbr\u003e\n\n\u003c\/div\u003e\u003c\/div\u003e\n\u003cdiv\u003e\u003cul\u003e\u003cli\u003e You can preview some of the book's contents.\u003cbr\u003e \u003cspan\u003ePreview\u003c\/span\u003e\n\n\u003c\/li\u003e\u003c\/ul\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003eindex\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e  \u003cdiv\u003e\n\u003cb\u003eCHAPTER 1 Overview and History of Time Series\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 1.1 Time series history in various application fields\u003cbr\u003e 1.2 A leap forward in time series analysis\u003cbr\u003e 1.3 Origins of Statistical Time Series Analysis\u003cbr\u003e 1.4 The Origins of Machine Learning Time Series Analysis\u003cbr\u003e 1.5 Supplementary Materials\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 2 Discovering and Handling Time Series Data\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 2.1 Where to find time series data\u003cbr\u003e 2.2 Improving Time Series Datasets in Table Sets\u003cbr\u003e 2.3 Problems with Timestamps\u003cbr\u003e 2.4 Data Cleaning\u003cbr\u003e 2.5 Seasonal data\u003cbr\u003e 2.6 Time zone\u003cbr\u003e 2.7 Prevention of pre-observation\u003cbr\u003e 2.8 Supplementary Materials\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 3 Exploratory Data Analysis of Time Series\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 3.1 Familiar Method\u003cbr\u003e 3.2 Exploration methods specialized for time series\u003cbr\u003e 3.3 Useful Visualizations\u003cbr\u003e 3.4 Supplementary Materials\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 4 SIMULATION OF TIME SERIES DATA\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 4.1 Special Features of Time Series Simulation\u003cbr\u003e 4.2 Simulation through code\u003cbr\u003e 4.3 Final advice on simulation\u003cbr\u003e 4.4 Supplementary Materials\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 5 Time Data Storage\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 5.1 Requirements Definition\u003cbr\u003e 5.2 Database Solutions\u003cbr\u003e 5.3 File Solutions\u003cbr\u003e 5.4 Supplementary Materials\u003cbr\u003e \u003cbr\u003e\u003cb\u003eCHAPTER 6 Statistical Models for Time Series\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 6.1 Why not use linear regression?\u003cbr\u003e 6.2 Statistical models developed for time series\u003cbr\u003e 6.3 Advantages and Disadvantages of Time Series Statistical Models\u003cbr\u003e 6.4 Supplementary Materials\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 7 State-Space Models of Time Series\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 7.1 Advantages and Disadvantages of State-Space Models\u003cbr\u003e 7.2 Kalman filter\u003cbr\u003e 7.3 Hidden Markov Models\u003cbr\u003e 7.4 Bayesian Structured Time Series\u003cbr\u003e 7.5 Supplementary Materials\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 8 Generation and Selection of Time Series Features\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 8.1 Examples for Beginners\u003cbr\u003e 8.2 Considerations when calculating features\u003cbr\u003e 8.3 List of places that inspired the discovery of features\u003cbr\u003e 8.4 How to select only some of the generated features\u003cbr\u003e 8.5 In conclusion\u003cbr\u003e 8.6 Supplementary Materials\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 9 Machine Learning for Time Series\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 9.1 Time series classification\u003cbr\u003e 9.2 Clustering\u003cbr\u003e 9.3 Supplementary Materials\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 10 DEEP LEARNING FOR TIME SERIES\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 10.1 Deep Learning Concepts\u003cbr\u003e 10.2 Neural Network Programming\u003cbr\u003e 10.3 Creating a Learning Pipeline\u003cbr\u003e 10.4 Forward propagation network\u003cbr\u003e 10.5 Convolutional Neural Networks\u003cbr\u003e 10.6 Recurrent Neural Networks\u003cbr\u003e 10.7 Composite Structures\u003cbr\u003e 10.8 In conclusion\u003cbr\u003e 10.9 Supplementary Materials\u003cbr\u003e \u003cbr\u003e\u003cb\u003eCHAPTER 11 Error Measurement\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 11.1 Basic Methods for Testing Predictions\u003cbr\u003e 11.2 A good time to predict\u003cbr\u003e 11.3 Estimating model uncertainty through simulation\u003cbr\u003e 11.4 Predicting several steps ahead\u003cbr\u003e 11.5 Precautions when verifying models\u003cbr\u003e 11.6 Supplementary Materials\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 12 Performance Considerations for Training and Deploying Time Series Models\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 12.1 Working with Tools Built for Common Cases\u003cbr\u003e 12.2 Advantages and Disadvantages of Data Storage Formats\u003cbr\u003e 12.3 Modifying the analysis to accommodate performance considerations\u003cbr\u003e 12.4 Supplementary Materials\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 13 Healthcare Applications\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 13.1 Flu Forecast\u003cbr\u003e 13.2 Blood Sugar Level Prediction\u003cbr\u003e 13.3 Supplementary Materials\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 14 Financial Applications\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 14.1 Acquisition and exploration of financial data\u003cbr\u003e 14.2 Preprocessing Financial Data for Deep Learning\u003cbr\u003e 14.3 Building and Training RNNs\u003cbr\u003e 14.4 Supplementary Materials\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 15 TIME SERIES FOR GOVERNMENT\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 15.1 Obtaining government data\u003cbr\u003e 15.2 Exploring Large-Scale Time Series Data\u003cbr\u003e 15.3 Real-time statistical analysis of time series data\u003cbr\u003e 15.4 Supplementary Materials\u003cbr\u003e \u003cbr\u003e\u003cb\u003eCHAPTER 16 Time Series Package\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 16.1 Large-scale forecasting\u003cbr\u003e 16.2 and above detection\u003cbr\u003e 16.3 Other time series packages\u003cbr\u003e 16.4 Supplementary Materials\u003cbr\u003e\u003cbr\u003e \u003cb\u003eCHAPTER 17: The Future of Time Series Forecasting\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e 17.1 Service-type forecasting\u003cbr\u003e 17.2 Improving Probabilistic Probability with Deep Learning\u003cbr\u003e 17.3 Machine learning methods are becoming more important than statistical methods.\u003cbr\u003e 17.4 The rise of methods combining machine learning and statistics.\u003cbr\u003e 17.5 More predictions permeate everyday life\u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003cbr\u003e\u003cdiv\u003e\u003ch5\u003e \u003cb\u003ePublisher's Review\u003c\/b\u003e\n\u003c\/h5\u003e\u003c\/div\u003e\n\u003cdiv\u003e\n\u003cdiv\u003e \u003cb\u003eA Practical Guide to Time Series Data Analysis from A to Z, Covering Amazon's #1 Data Warehouse\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Time series analysis is used to predict and prepare for the future in places closely related to our daily lives, such as the Korea Meteorological Administration, financial institutions, and government agencies.\u003cbr\u003e Time series data is becoming increasingly important due to the massive data production driven by the Internet of Things, the digital transformation of healthcare, and the rise of smart cities, and its impact will expand across all industries.\u003cbr\u003e \u003cbr\u003eThis book provides a comprehensive, practical overview of the entire time series data and modeling pipeline—acquisition, cleaning, simulation, storage, and modeling—for accurate time series analysis and forecasting, with R and Python code provided.\u003cbr\u003e The first half introduces the concepts that are fundamental to understanding the entire process of time series forecasting.\u003cbr\u003e It covers exploration, collection, and organization of time series data, as well as ARIMA and SARIMA models.\u003cbr\u003e In the second half, you'll learn how to apply time series techniques to research cases in healthcare, finance, and government data using MXNet and TensorFlow, and you'll also learn about various examples that draw on the author's extensive experience.\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e Finally, we've included links to tutorials on the topics and essential techniques covered in each chapter.\u003cbr\u003e This one book will prepare you to analyze and forecast time series data in the real world. \u003cbr\u003eWe hope this practical guide will help you improve the accuracy of your time series forecasts.\u003cbr\u003e\u003cbr\u003e \u003cb\u003eMain contents\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e Exploring and organizing time series data\u003cbr\u003e Performing exploratory time series data analysis\u003cbr\u003e Time data storage\u003cbr\u003e Time series data simulation\u003cbr\u003e Creating and selecting time series features\u003cbr\u003e Measurement error\u003cbr\u003e Time series forecasting and classification using machine learning and deep learning\u003cbr\u003e Accuracy and Performance Evaluation\u003cbr\u003e\u003cbr\u003e \u003cb\u003eExample code\u003c\/b\u003e\u003cbr\u003e\u003cbr\u003e github.com\/deep-diver\/practical-time-series-analysis-korean \u003c\/div\u003e\n\u003cdiv\u003e\u003c\/div\u003e\n\u003c\/div\u003e\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cdiv style=\"width:95%;padding-top:20px;padding-bottom:20px\"\u003e\n\n\u003cdiv style=\"text-align:left;font-size:16px;font-weight:bold;padding-bottom:20px\"\u003e GOODS SPECIFICS \u003c\/div\u003e\n\n\u003cdiv style=\"text-align:left;font-size:14px;line-height:1.6em;\"\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003ePublication date:\u003c\/strong\u003e April 9, 2021\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003ePage count, weight, size:\u003c\/strong\u003e 568 pages | 183*235*35mm\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN13:\u003c\/strong\u003e 9791162244081\u003c\/div\u003e\n\n\u003cdiv style=\"width:100%;margin-bottom:5px;line-height:1.6em;font-size:14px\"\u003e - \u003cstrong\u003eISBN10:\u003c\/strong\u003e 1162244089 \u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\n\u003c\/div\u003e\n\n\u003ccenter\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003ccenter\u003e\u003ctable\u003e\u003ctr\u003e\u003ctd style=\"height:10px\"\u003e\u003c\/td\u003e\u003c\/tr\u003e\u003c\/table\u003e\u003c\/center\u003e\n\n\u003cspan\u003e\u003c\/span\u003e\n\n\u003c\/center\u003e\n\n\n\u003c\/center\u003e","brand":"LIBRAIRIE COREENNE","offers":[{"title":"Default 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