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Robert C. HuntCovers the most contemporary approaches to anomaly detectionUtilize this easy-to-follow beginner‘s guide to understand how deep learning can be applied to the task of anomaly detection. Using Keras and PyTorch in Python, the book focuses on how various deep learning models can be applied to semi-sup

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Susan Cratein Python, the book focuses on how various deep learning models can be applied to semi-supervised and unsupervised anomaly detection tasks..This book begins with an explanation of what anomaly detection is, what it is used for, and its importance. After covering statistical and traditional machine l

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William M. Lokerly while building up your Ansible skills layer by layer through easy to grasp examples and engaging projects. You’ll also think about security, why testing is important, and how to use version control safely..As a beginner to Ansible, you‘ll be guided step-by-step through creating your first Ansible

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