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Machine Learning for Fraud Detection in Streaming Services

Netflix Tech

Data analysis and machine learning techniques are great candidates to help secure large-scale streaming platforms. Streaming Platforms Commercial streaming platforms shown in Figure 1 mainly rely on Digital Rights Management (DRM) systems. false-positive incidents), for example in the case of a buggy client or device.

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Recommendation System Using Machine Learning | Examples & Types

U-Next

Recommendation System – Created by Machine Learning . Machine learning has a subclass known as recommendation engines that often rank or rate people or products. Example of Collaborative filtering algorithms: . Collaborative Filtering System . This is referred known as the cold start problem. The Code .

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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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30+ Free Datasets for Your Data Science Projects in 2023

Knowledge Hut

We will discuss the different types of datasets in data science which cover disciplines like data visualization, data processing, machine learning, data cleaning, exploratory data analysis, natural language processing, and computer vision. Most of us look for open datasets for data science to work on machine learning projects.

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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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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. Machine Learning. Bidding on Programmatic Media Buys.