[Book] Collection of "Anomaly Detection" Techniques and Use Cases Using Machine Learning and Deep Learning (No. 2181) [Sample available]

★ A Detailed Explanation of the Features, Advantages, Disadvantages, Appropriate Selection, and Usage of Machine Learning and Anomaly Detection Methods!
★ How to Address Issues such as "Explanation of Judgment Basis," "Collection of Anomalous Data," "Misjudgment," and "Reliability of Training Data"!
---------------------
■ Table of Contents
Chapter 1: Fundamental Knowledge and Key Points of Machine Learning and Deep Learning Necessary for Anomaly Detection
Chapter 2: Development of Explainable Artificial Intelligence and How to Implement and Utilize It
Chapter 3: Quality Considerations and Verification Techniques for AI (Machine Learning)
Chapter 4: How to Build Anomaly Detection and Fault Prediction Systems with IoT and AI in Factories and Plants
Chapter 5: Anomaly Detection in Infrastructure Equipment Using IoT and AI
Chapter 6: Anomaly Detection Techniques Using Deep Learning and Their Application in Visual Inspection
Chapter 7: Medical Applications of Machine Learning and Attempts at Anomaly Detection
Chapter 8: Anomaly Detection in Electrical Equipment and In-Vehicle Devices
---------------------
● Publication Date: December 27, 2022 ● Format: A4 Size, 560 Pages
● Authors: 70 Contributors ● ISBN: 978-4-86104-913-2
---------------------

Inquiry about this news
Contact Us OnlineMore Details & Registration
Details & Registration
Related Links
Technical Information Association Site