Free Delivery Over $100
|
|
|||
|
||||
OverviewFull Product DetailsAuthor: Cher Simon , Jeff BarrPublisher: Packt Publishing Limited Imprint: Packt Publishing Limited ISBN: 9781804617755ISBN 10: 180461775 Pages: 218 Publication Date: 31 January 2023 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: In stock  We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsTable of Contents Understanding Deep Learning Anomaly Detection Understanding Explainable AI Natural Language Processing Anomaly Explainability Time Series Anomaly Explainability Computer Vision Anomaly Explainability Differentiating Intrinsic versus Post Hoc Explainability Backpropagation Versus Perturbation Explainability Model-Agnostic versus Model-Specific Explainability Explainability Evaluation SchemesReviewsAuthor InformationCher Simon is a principal solutions architect specializing in artificial intelligence, machine learning, and data analytics at AWS. Cher has 20 years of experience in architecting enterprise-scale, data-driven, and AI-powered industry solutions. Besides building cloud-native solutions in her day-to-day role with customers, Cher is also an avid writer and a frequent speaker at AWS conferences. Tab Content 6Author Website:Countries AvailableAll regions |
||||
