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Explore how data science transforms social media data, revealing insights to optimize profits for high-revenue properties. Learn about AI model building, applications, failures, bias, and solutions.
Explore AI's impact on cybersecurity, its potential risks and benefits, and strategies for ensuring AI safety and ethical development in this thought-provoking talk by Dr. Yampolskiy.
Explore vision transformers' architecture, self-attention in computer vision, and applications in recognition, segmentation, and multi-modal learning. Discover their potential for general-purpose model architectures.
Explore responsible AI use in healthcare, addressing challenges, identifying biases, and implementing ethical practices to enhance patient outcomes and promote health equity.
Learn best practices for building ML data labeling pipelines through crowdsourcing. Explore real-life examples, requirements, and techniques for high-quality labeled data in supervised machine learning projects.
Explore data mesh architecture: benefits, challenges, and best practices for implementation. Learn strategies for designing data products, governance models, and ensuring data quality in this decentralized approach.
Explore AI's role in cybersecurity, including research examples, workforce development, and the AI4Cyber Virtual Machine. Gain insights on integrating AI into security practices and optimizing operations.
Explore the journey from data planning to implementation, covering data strategy, maturity, roadmaps, and best practices for turning insights into actionable solutions across businesses.
Explore an intuition-based approach to reinforcement learning, covering key concepts like exploit vs. explore, Q-tables, and stochastic actions, with practical examples and applications.
Explore real-time analytics and machine learning with HTAP databases. Learn to leverage SQL for model building and discover tools for efficient data infrastructure in this hands-on webinar.
Explore real-time streaming data processing using Ibis, Substrait, and Apache Arrow. Learn how this software stack enhances featurization workflows for fast, accurate insights and decision-making in data science.
Explore cybersecurity challenges in the Metaverse with Jack McCauley. Learn about potential threats, privacy risks, and how AI can combat cyberattacks in virtual environments.
Explore diffusion-based generative modeling, its advantages over other approaches, and applications in image generation and inverse problems. Learn about score functions, training methods, and recent advancements.
Automate ML model training and evaluation using GitLab CI/CD. Learn to allocate cloud instances, generate performance reports, transfer data, and customize workflows for efficient machine learning development.
Strategies for small and medium-sized organizations to overcome challenges and implement machine learning in real-world applications, focusing on product definition, data, deployment, and ethics.
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