★This will explain various analysis methods and practical challenges, introducing examples of analysis by application, from the collection and preprocessing of time series data to each analysis technique.
★An explanation of analytical methods that incorporate practical applications while capturing the characteristics of time series data by a total of 25 authors. 〇 What if the data behavior is too granular? How to group multiple datasets? etc. 〇 Causal exploration, state space models, etc... Addressing common practical challenges with each analytical method. 〇 Demand forecasting for sales and product prices, anomaly detection from normal data only, analysis by segmenting time series data, etc. Numerous case studies using real data are explained! What are the necessary data types, and what are the points for interpreting analysis results and improving accuracy? 〇 Measures to counter performance degradation during system operation, activities that should be carried out at each stage for AI evaluation, testing techniques, and quality assurance.
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basic information
Publication scheduled for late January 2024. Price: 66,000 yen (including tax at 10%). Format: B5 size, 318 pages. ISBN: 978-4-86502-262-9 Chapter 1: Quality Assurance and Its Concepts in AI Utilization Chapter 2: Data Collection and Preprocessing Techniques Chapter 3: Time Series Data Processing Techniques and Practical Challenges Chapter 4: Examples of Time Series Data Analysis Using Real Data For applications and details about the book's content, visit: https://johokiko.co.jp/publishing/BC240102.php
Price information
List price: 66,000 yen (including tax (10% consumption tax))
Price range
P2
Delivery Time
P1
※Orders placed by 3 PM on the day of publication will be shipped on the same day.
Applications/Examples of results
【Target Audience】 - Those who want to utilize their own data and are struggling with data handling - Those who are having difficulty analyzing small amounts of data - Those interested in analyzing time series data using machine learning and other methods
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Company information
The information organization aims to contribute to the development of the industry through technical seminars on chemistry, pharmaceuticals, electronics, machinery, environment, cosmetics, food, etc., as well as the publication of technical books, correspondence courses, and DVDs that record seminars.
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