[Book] How to Advance AI and Machine Learning with Limited Data, Improve Accuracy, and Develop Explainable AI (No. 2269)
TECHNICAL INFOMATION INSTITUTE CO.,LTD
☆No need for a large amount of training data! Data augmentation through generative AI, transfer learning, and multi-task learning! ☆Why did the AI come to that answer? What are the grounds for judgment and reliability! －－－－－－－－－－－－－－－－－－－－－ ■ Table of Contents Chapter 1: Types and Methods of AI (Artificial Intelligence) / Machine Learning Chapter 2: Data Processing, Cleansing, and Feature Selection Chapter 3: Data Collection, Accumulation, and Database Construction Chapter 4: How to Train and Utilize Machine Learning and AI with Limited Data Chapter 5: Improving the Accuracy of Machine Learning and AI and Reducing Learning Time Chapter 6: Explainable AI / Black Box Analysis Techniques and Their Implementation and Utilization in Business Chapter 7: Fairness, Quality Assurance, and Reliability Evaluation －－－－－－－－－－－－－－－－－－－－－ ●Publication Date: October 31, 2024 ●Format: A4 size, 389 pages ●Authors: 55 individuals ●ISBN: 978-4-86798-048-4 －－－－－－－－－－－－－－－－－－－－－
