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Understanding 4 Concepts for Avoiding Bias in AI-enabled Fraud Detection

insideBIGDATA

In this special guest feature, Ilya Gerner, Director of Compliance Strategy for GCOM, explains why bias can be an issue when using artificial intelligence (AI) for fraud detection. By understanding key concepts of machine learning (ML), organizations can ensure greater equity in AI outputs.

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Data Transformation: Standardization vs Normalization

KDnuggets

This guide explains the difference between the key feature scaling methods of standardization and normalization, and demonstrates when and how to apply each approach. Increasing accuracy in your models is often obtained through the first steps of data transformations.

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Why Signal 'turned our architecture inside out' for its latest privacy feature

Hacker News

Adding usernames to a messaging app may seem like a standard feature, but for Signal, such identifiers were anathema to its mission of total privacy and security — until now. version adds usernames, but the company’s president, Meredith Whittaker, explained that this was nowhere near as simple a decision as it may […]

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9 important plots in data science

Data Science Dojo

SHAP Plot: SHAP plots offer an in-depth understanding of the importance of features in a predictive model. They provide a comprehensive view of how each feature contributes to the model’s output for a specific prediction. SHAP values help answer questions like, “Which features influence the prediction the most?”

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How to Package and Price Embedded Analytics

This framework explains how application enhancements can extend your product offerings. Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? Brought to you by Logi Analytics.

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Boosting in Machine Learning: Definition, Functions, Types, and Features

Analytics Vidhya

As a result, in this article, we are going to define and explain Machine Learning boosting. The post Boosting in Machine Learning: Definition, Functions, Types, and Features appeared first on Analytics Vidhya. Numerous analysts are perplexed by the meaning of this phrase.

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How ChatGPT can improve your data science skills

Data Science Dojo

Feature engineering Generative AI can be used to create new features from existing data. Example: A data scientist working on a project to predict fraud could use generative AI to create a new feature that represents the similarity between a transaction and known fraudulent transactions.