$500 – $1,400

Anomaly detection with machine and deep learning

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Level Office Theater District

720 Rusk Street

Houston, TX 77002

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Anomaly detection(in R)

Join Pablo, our expert in building multivariate survival analysis, random forest, time series, and deep learning models to turn data into business insight

Today, it's an arms race between companies and fraudsters. As companies tighten against known fraud, the villains turn to new approaches. In finance, companies have turned to anomaly detection to stay ahead of the fraudsters.

Do you want to learn how to identify anomalies? This hands-on, immersive course will teach you how to build and optimize several different approaches for anomaly detection. Join Pablo, as he teaches you how to use one-class SVM, KNN, Isolation Forest, and autoencoders using neural networks -- all to detect anomalies in your data. You will learn how to handle incomplete data, impute observations, and understand the strengths and limitations of these orthogonal approaches. By the end of the course, you will have built and deployed your own unsupervised models for anomaly detection.

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Level Office Theater District

720 Rusk Street

Houston, TX 77002

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