
Uncovering the Unusual
A Guide to Detecting and Analyzing Anomalies in Data
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Be guided through this underlying foundation of analytics, uncovering its riveting importance as you grapple with real-world applications. This eBook stands unique as it unveils different classifications of anomalies, dissecting them into point, contextual, and collective anomalies, and offering an enriching understanding of their diverse natures.
Leap into the core of data analysis, touching upon the vital pillars of data structures, data cleaning, and preprocessing, including the art of data visualization. Rebeknownst to many yet essential is the myriad of techniques for anomaly detection - we cover them all; from statistical techniques and machine learning to the profound dimension of time series analysis.
Take a deeper dive into the specifics of anomaly detection. Heighten your knowledge on Z-Scores and their implementation, explore density-based anomaly detection, and unravel the marvels of supervised, unsupervised and semi-supervised machine learning techniques.
Unleash the power of Deep Learning for anomaly detection, understanding the utility of AutoEncoders, Deep Belief Nets, and Artificial Neural Networks. And that's not it! Your journey continues as you embark on utilizing Python for anomaly detection – mastering the use of essential Python libraries and visualization of anomaly results.
Delve into the particular realm of detecting anomalies in time series data and further enrich your knowledge with our intriguing case studies on anomaly detection in Network Intrusion, E-commerce, and Healthcare.
In the finale of this fascinating journey, learn about evaluating anomaly detection models and gaze at the forecasted future directions in anomaly detection, touching upon the role of big data, and the looming potential of AI and machine learning.
For everyone from ardent learners to those just starting their journey in data science, or professionals seeking a refresher, "Uncovering the Unusual" beckons you to the captivating world of anomalies. It hosts a trove of knowledge waiting to be unraveled. Add it to your reading list today and step into the captivating world of Anomaly Detection!
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