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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.
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 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 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.
Learn to build robust data pipelines using dbt, Airflow, and Great Expectations. Discover how these tools complement each other to ensure data quality, perform transformations, and orchestrate workflows effectively.
Explore responsible AI use in healthcare, addressing challenges, identifying biases, and implementing ethical practices to enhance patient outcomes and promote health equity.
Explore Bayesian statistical computation and Hamiltonian Monte Carlo algorithms using PyMC3, an open-source probabilistic programming package. Learn to apply these advanced techniques to complex models in Python.
Explore deep learning survival analysis for precise credit risk prediction in consumer lending, combining traditional methods with advanced techniques for improved time-to-event forecasting.
Explore stable diffusion for generative art with Hunter Kempf. Learn model architecture, ethical considerations, practical applications, query optimization, and future developments in AI-driven visual creativity.
Explore a data-centric approach to ML development, focusing on iteration, quality tools, and problem-solving strategies for more effective AI model creation and implementation.
Explore vector search in data science with Connor Shorten, covering Weaviate Vector Search Engine, healthcare applications, and content performance analytics. Gain insights into vector representations and segmentation.
Explore cloud directions, MLOps, and production data science with Prof. Hellerstein. Learn key challenges, lifecycle management, and innovative solutions for scaling data-intensive applications in the cloud.
Explore automated data classification's role in efficient data management, regulatory compliance, security enhancement, and decision-making support for large enterprises with Alex Gorelik.
Explore data-centric AI with Alex Ratner: operationalizing knowledge, managing training data, and leveraging foundational models for real-world applications in machine learning and responsible AI.
Explore model-based deep learning approaches for efficient, interpretable networks in signal and image processing, with applications in imaging, ultrasound, and COVID-19 detection.
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