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Explore NLP techniques for scenarios without pre-labeled datasets. Learn strategies for dataset creation, annotation, augmentation, and transfer learning in real-world NLP applications.
Explore cardiometabolic disease trends in Canada, analyzing data patterns and implications for public health strategies and interventions.
Explore interpretable machine learning models that are self-explanatory, focusing on making complex neural networks more transparent and understandable for critical applications.
Explore data shift principles, detection strategies, and adaptation techniques in machine learning for dynamic environments. Practice hands-on with advanced topics to enhance model performance.
Explore cutting-edge neural methods for semantic search, improving text search quality with pre-trained transformer networks and advanced deployment techniques.
Explore how Digits applies transformer models to extract structured information from unstructured financial data and deploys ML experiments in production using TensorFlow.
Explore AI applications in digital pathology, revolutionizing disease diagnosis and treatment through advanced image analysis and machine learning techniques.
Explore feature store best practices in fintech, covering versioning, automation, visualization, and efficiency improvements. Includes demo.
Explore the future of AI processing beyond traditional CPUs and GPUs, focusing on innovative architectures designed for demanding ML workloads in retail and beyond.
Explore ethical AI design principles and learn to create purposeful, responsible machine learning systems for real-world applications.
Explore ML model governance in finance through insights from 66 global institutions, focusing on key practices and regulatory considerations.
Explore a framework for detecting mode confusion in older drivers using automated vehicles, utilizing eye-tracking data and machine learning to enhance safety and usability.
Explore recent NLP advances in ESG analysis, including transformer models and transfer learning. Understand the advantages and limitations of current technology in ESG domain.
Explore techniques for identifying system intrusions, leveraging AI, edge computing, and big data for enhanced IoT and enterprise security analytics.
Explore unsolved problems in human-in-the-loop machine learning, including uncertainty interpretation, transfer learning, and annotation quality control. Gain insights from an expert in AI and ML.
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