Cher 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.
Cher Simon
Tytuły autora: Cher Simon dostępne w księgarni Ebookpoint
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Deep Learning and XAI Techniques for Anomaly Detection shows you how to evaluate and create explainable models, leading to increased interpretability and trust in model predictions with better performance. You’ll explore the fundamentals of deep learning, anomaly detection, and XAI using practical examples and self-assessment questions.-
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