{"product_id":"9781484251775","title":"Beginning Anomaly Detection Using Python-Based Deep Learning: With Keras and PyTorch","description":"Utilize 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-supervised and unsupervised anomaly detection tasks.\u003cbr\u003eThis book begins with an explanation of what anomaly detection is, what it is used for, and its importance. After covering statistical and traditional machine learning methods for anomaly detection using Scikit-Learn in Python, the book then provides an introduction to deep learning with details on how to build and train a deep learning model in both Keras and PyTorch before shifting the focus to applications of the following deep learning models to anomaly detection: various types of Autoencoders, Restricted Boltzmann Machines, RNNs\u0026amp;LSTMs, and Temporal Convolutional Networks. The book explores unsupervised and semi-supervised anomaly detection along with the basics oftime series-based anomaly detection.\u003cbr\u003eBy the end of the book you will have a thorough understanding of the basic task of anomaly detection as well as an assortment of methods to approach anomaly detection, ranging from traditional methods to deep learning. Additionally, you are introduced to Scikit-Learn and are able to create deep learning models in Keras and PyTorch.\u003cbr\u003e\u003cbr\u003e\u003cb\u003eWhat You Will Learn\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eUnderstand what anomaly detection is and why it is important in today's world\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eBecome familiar with statistical and traditional machine learning approaches to anomaly detection using Scikit-Learn\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eKnow the basics of deep learning in Python using Keras and PyTorch\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eBe aware of basic data science concepts for measuring a model's performance: understand what AUC is, what precision and recall mean, and more\u003cbr\u003e\n\u003c\/li\u003e\n\u003cli\u003eApply deep learning to semi-supervised and unsupervised anomaly detection\u003cbr\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eWho This Book Is For\u003c\/b\u003e\u003cbr\u003eData scientists and machine learning engineers interested in learning the basics of deep learning applications in anomaly detection\u003cbr\u003e","brand":"Apress","offers":[{"title":"Default Title","offer_id":46557703110897,"sku":"9781484251775","price":54.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9781484251775_p0.jpg?v=1765490107","url":"https:\/\/shop.barnesandnoble.com\/products\/9781484251775","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}