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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 challenges in AI and healthcare equity, focusing on race and ethnicity data. Learn about bias in algorithms and data, and discover opportunities for improving healthcare AI through better data and models.
Explore data orchestration with Dagster, focusing on managing data assets over tasks. Learn about pipeline development, testing, deployment, and monitoring in data engineering and machine learning.
Explore the evolution of conversation systems and reasoning-based approaches in chatbots. Learn about paradigm shifts, system levels, and AI-assisted diagnosis to advance chatbot sophistication.
Explore AI transformation in telecom: MLOps infrastructure, AI Command Centre, and data science strategies for customer satisfaction, business growth, and digital innovation.
Unlock data literacy and simple analytics to build a data-driven workforce. Learn to equip teams with essential skills, eliminate tedious requests, and leverage descriptive analytics for organizational success.
Explore how Reinforcement Learning revolutionizes online advertising, from personalized content delivery to stochastic bandit algorithms, covering business impacts and technical challenges in real-world implementation.
Explore how data science combats COVID-19 through mobility models, epidemiological predictions, and large-scale surveys. Learn key technical skills and insights from Dr. Nuria Oliver's multidisciplinary team of volunteer scientists.
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