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Beyond Guesswork: Leveraging Bayesian Statistics for Effective Article Title Selection

KDnuggets

The article discusses how Bayesian multi-armed bandit algorithms can optimize digital media title selection, surpassing traditional A/B testing methods, demonstrated with a Python example, to boost audience engagement and decision-making in content creation.

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Natural Language Processing (NLP) Job Opportunities

Knowledge Hut

It is used to develop algorithms and applications to make computers understand, interpret and generate human language. Natural Language Processing Engineer A Natural Language Processing engineer develops and implements algorithms and models to enable machines to understand and generate human language.

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Consulting Case Study: Lookalike Models for Audience Expansion

WeCloudData

Precision vs Recall: i.e., “cost of targeting the wrong user is much smaller than the cost of failing to target the right user”. It showed our capability in handling large amount of data and provide the data-driven insights in new areas.

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Consulting Case Study: Lookalike Models for Audience Expansion

WeCloudData

Precision vs Recall: i.e., “cost of targeting the wrong user is much smaller than the cost of failing to target the right user”. It showed our capability in handling large amount of data and provide the data-driven insights in new areas.

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Recommendation System Using Machine Learning | Examples & Types

U-Next

Example of Collaborative filtering algorithms: . The content-based filtering (CBF) algorithm makes suggestions based on specific item attributes by identifying similarities. The PVR algorithm was developed since it was so important for OTT (Over-the-Top) services to understand consumer preferences. The Code . Example: .

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Machine Learning for Fraud Detection in Streaming Services

Netflix Tech

Even though such techniques can scale security solutions proportional to the service size, they bring their own set of challenges such as requiring labeled data samples, defining effective features, and finding appropriate algorithms.

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A Guide on How to Design a Strategy For AI Marketing

U-Next

Modern marketers are turning to Artificial Intelligence marketing strategies that use AI approaches and technologies such as data models, algorithms, and Machine Learning to optimize budgets, tailor content, and personalize the consumer experience. What is AI (Artificial Intelligence) Marketing? . Marketing Operations.