Manning Introduces: Outlier Detection in Python

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About the book:
"Outlier Detection in Python" is a comprehensive guide to the statistical methods, machine learning, and deep learning approaches you can use to detect outliers in different types of data. Throughout the book, you’ll find real-world examples taken from author Brett Kennedy’s extensive experience developing outlier detection tools for financial auditors and social media analysis. Plus, the book’s emphasis on interpretability ensures you can identify why your outliers are unusual and make informed decisions from your detection results. Each key concept and technique is illustrated with clear Python examples. All you’ll need to get started is a basic understanding of statistics and the Python data ecosystem.
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Outlier Detection in Python | mng.bz/KZyn
To save 40% use the discount code: watchkennedy40
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