Isbn: 9781032580920 - explainable, interpretable, and transparent ai systems (6 resultados)

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condición: Brand New. 328 pages. 6.14x0.74x9.21 inches. In Stock.

Condición: New. B.K. Tripathy is a distinguished researcher in the fields of Computer Science and Mathematics and is working as a professor (Higher Academic Grade) in the SCORE School of VIT, Vellore. He received his Ph.D. degree in 1983. During his student caree.

Taschenbuch. Condición: Neu. Neuware - Transparent Artificial Intelligence (AI) systems facilitate understanding of the decision-making process and provide opportunities in various aspects of explaining AI models. This book provides up-to-date information on the latest advancements in the field of explainable AI, which is a critical requirement of AI, Machine Learning (ML), and Deep Learning (DL) models. It provides examples, case studies, latest techniques, and applications from domains such as healthcare, finance, and network security. It also covers open-source interpretable tool kits so that practitioners can use them in their domains.Features: - Presents a clear focus on the application of explainable AI systems while tackling important issues of 'interpretability' and 'transparency'. - Reviews adept handling with respect to existing software and evaluation issues of interpretability. - Provides insights into simple interpretable models such as decision trees, decision rules, and linear regression. - Focuses on interpreting black box models like feature importance and accumulated local effects. - Discusses capabilities of explainability and interpretability. This book is aimed at graduate students and professionals in computer engineering and networking communications.…

PAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Paperback. Condición: new. Paperback. Transparent Artificial Intelligence (AI) systems facilitate understanding of the decision-making process and provide opportunities in various aspects of explaining AI models. This book provides up-to-date information on the latest advancements in the field of explainable AI, which is a critical requirement of AI, Machine Learning (ML), and Deep Learning (DL) models. It provides examples, case studies, latest techniques, and applications from domains such as healthcare, finance, and network security. It also covers open-source interpretable tool kits so that practitioners can use them in their domains.Features:Presents a clear focus on the application of explainable AI systems while tackling important issues of interpretability and transparency.Reviews adept handling with respect to existing software and evaluation issues of interpretability.Provides insights into simple interpretable models such as decision trees, decision rules, and linear regression.Focuses on interpreting black box models like feature importance and accumulated local effects.Discusses capabilities of explainability and interpretability.This book is aimed at graduate students and professionals in computer engineering and networking communications. This book provides up-to-date information on latest advancements in the field of Explainable AI, which is the critical requirement of AI/ML/DL models. It provides examples, case studies, latest techniques, and applications from the domains of health care, finance, network security etc. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.…