| 書(shū)目名稱(chēng) | Finding Ghosts in Your Data | | 副標(biāo)題 | Anomaly Detection Te | | 編輯 | Kevin Feasel | | 視頻video | http://file.papertrans.cn/344/343475/343475.mp4 | | 概述 | Teaches state-of-the-art outlier detection techniques.Helps you build a fully functional anomaly detection service.Discusses why humans are natural anomaly detectors | | 圖書(shū)封面 |  | | 描述 | Discover key information buried in the noise of data by learning a variety of anomaly detection techniques and using the Python programming language to build a robust service for anomaly detection against a variety of data types. The book starts with an overview of what anomalies and outliers are and uses the Gestalt school of psychology to explain just why it is that humans are naturally great at detecting anomalies. From there, you will move into technical definitions of anomalies, moving beyond "I know it when I see it" to defining things in a way that computers can understand..The core of the book involves building a robust, deployable anomaly detection service in Python. You will start with a simple anomaly detection service, which will expand over the course of the book to include a variety of valuable anomaly detection techniques, covering descriptive statistics, clustering, and time series scenarios. Finally, you will compare your anomaly detectionservice head-to-head with a publicly available cloud offering and see how they perform..The anomaly detection techniques and examples in this book combine psychology, statistics, mathematics, and Python programming in a way that i | | 出版日期 | Book 2022 | | 關(guān)鍵詞 | Outlier Analysis; Anomaly Detection; Gestalt; Robust Statistics; Interquartile Range; Mahalanobis Distanc | | 版次 | 1 | | doi | https://doi.org/10.1007/978-1-4842-8870-2 | | isbn_softcover | 978-1-4842-8869-6 | | isbn_ebook | 978-1-4842-8870-2 | | copyright | Kevin Feasel 2022 |
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