Sara Robinson

Sara Robinson

Anomaly detection can be a good candidate for machine learning, since it is often hard to write a series of rule-based statements to identify outliers in data. In this post I'll ook at building a model for fraud detection on financial data. If you're thinking *groan, that sounds boring*, don't go away just yet! Fraud detection addresses some interesting challenges in ML.

1 mentions: @SRobTweets
Date: 2020/01/15 17:21

Referring Tweets

@SRobTweets New blog post! 🤑 Build a fraud detection model with @TensorFlow ⚖️ Understand why the model predicted fraud with some @GCPcloud explainability magic t.co/J04jf9w3yx

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