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Explore DNS data collection methods that protect privacy while enabling internet analysis. Learn techniques for scrubbing PII and leveraging DNS metadata for behavioral security research.
Explore an explanation-based learning framework for NLP that improves label efficiency and reliability, reducing reliance on extensive datasets and machine learning expertise.
Survey of deep learning pipeline optimization techniques, exploring quantization, distillation, and math library selection. Discusses trade-offs for deployment and provides insights for efficient ML implementation.
Learn to build NLP models using Azure ML AutoML for tasks like classification and named entity recognition. Explore multilingual support, data labeling, and distributed training for efficient model development.
Explore deep learning and transfer learning for NLP with expert Dipanjan Sarkar. Gain insights on challenges, deployment, popular models, tools, and recent advances in multilingual AI and model interpretability.
Explore Hopsworks feature store for Python-centric ML operations, covering feature engineering, pipelines, and real-time serving with an end-to-end use case demonstration.
Explore how AI revolutionizes industries through automated processes, cognitive analytics, and predictive maintenance, reshaping manufacturing, supply chains, and decision-making while addressing challenges and opportunities.
Explore NLP basics, advanced techniques like word vectors, and topic modeling. Learn pre-processing, tools, and methodologies to start NLP modeling and understand topic analysis.
Explore the emerging Model Catalog technology, its role in standardizing and governing ML models, and its benefits for organizations in model operationalization and responsible AI practices.
Explore the trend of larger AI models, their growing capabilities, and impact on language, vision, and multi-modality. Learn about research, engineering efforts, and implications for companies.
Explore scaling data preparation for AI development, covering DataOps, versioning, labeling, and automating workflows into robust pipelines for efficient ML operationalization.
Explore Japan's AI and data landscape, challenges, and opportunities across industries. Insights from DataRobot Japan's CEO on transformational projects and strategies for fast growth in a unique market.
Learn to auto-train time-series forecast models using Azure Machine Learning and Azure Databricks for large-scale enterprise solutions in supply chain, healthcare, insurance, and finance.
Explore AI applications in COVID-19 research: CT scan analysis, NLP for literature insights, and deep learning for drug candidate design. Learn how technology aids pandemic response.
Learn strategies for maintaining accurate geospatial databases, sourcing quality POI data, and applying up-to-date location intelligence to business models in a dynamically changing world.
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