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data-science
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Kafka for Reinforcement Learning in Trading Agents
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Kafka and ML to Orchestrate Intelligent Routing in Telecom Networks
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Building Large-Scale Machine Learning Pipelines for Foundation Models
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Designing Privacy-Preserving Algorithms for Large-Scale Graphs
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Incremental Learning: Efficient Model Updates
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Online Learning: Adapting to Dynamic Data Streams
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Software Development vs. AI Development: Debunking the Myths
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Powering Active Learning with Apache Kafka
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Active Learning: The Art of Asking the Right Questions in Machine Learning
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Applying Deep Learning on Streaming Data
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Learning on the Fly: Training Machine Learning Models with Streaming Data
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Real-time Model Deployment and Inference
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Real-Time Features, Real-Time Results: Exploring Streaming Feature Stores with Kafka
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Representation transformation techniques
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Understanding Causal ML
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