
Explore LLMs in data analytics with Gerard Kostin. Learn about DataGPT's tech stack, LLM capabilities, challenges, and integration with advanced algorithms for efficient data processing and interpretation.

Explore cutting-edge predictive models for single-cell and regulatory genomics, enhancing understanding of cancer progression and potential treatment approaches.

Explore computational approaches to predict cell phenotypes from genomic data using biochemical network reconstruction, advancing our understanding of cellular behavior and disease mechanisms.

Explore tumor evolution through single-cell data analysis. Learn advanced techniques for inferring phylogenetic relationships and understanding cancer progression at the cellular level.

Explore computational approaches in cancer research, from mathematical modeling to machine learning, aimed at understanding disease progression and developing precision treatments.

Explore how data science revolutionizes American football player evaluation, integrating advanced analytics, machine learning, and player tracking data to enhance strategies and redefine the sport's future.

Explores community surveillance on Nextdoor, revealing how gentrification impacts hyperlocal social media posts and potentially exacerbates social tensions and exclusion in neighborhoods.

Explore the convergence of data, language, and wisdom in Full Stack Knowledge Architecture, combining LLM power with query language precision to navigate data through innovative access patterns.

Explore how Euler Characteristic Transforms and CNNs can be used for shape classification, with a focus on leaf datasets. Learn about ECT-CNN pipeline, rotation equivariance, and practical applications.

Explore tangible cubes for visualizing 3D spatio-temporal data in mixed reality. Discover innovative interaction techniques and design spaces for intuitive data exploration and visualization.

Explore user engagement on TikTok through data donations, revealing insights on daily usage, attention span, and video preferences in short-format content recommendations.

Master Excel Pivot Tables: Analyze complex data, create insightful charts, and leverage advanced features like Power Pivot and DAX expressions for powerful data manipulation and visualization.

Explores IDEA, a deduplication-aware term-index design that improves efficiency in indexing deduplicated data, reducing index size, indexing time, and lookup latency while supporting advanced functionalities.

Hands-on tutorial exploring Julia for data science, covering interactive analysis, visualization, and machine learning algorithms. Equips participants to apply Julia in their own projects.

Hands-on introduction to Julia for scientific computing and data science, focusing on its efficiency and interactive capabilities for technical applications and scalable computing.

Overview of novel approaches to compute optimal transport, blending recent techniques including convex optimization, automatic differentiation, and neural networks for large-scale approximations in high-dimensional regimes.

Explore how data science and AI revolutionize decision-making, with a focus on enhancing railroad safety through innovative technology. Dr. Yang Yu shares insights on lowering barriers and costs in various industries.

Learn to leverage Microsoft Copilot in Excel for data analysis, visualization, and task automation. Boost productivity with AI-powered insights, formulas, and problem-solving capabilities.

Explore the journey of modernizing a BI platform, from legacy systems to cutting-edge tools. Learn about data ingestion, dbt transformations, and Airflow orchestration, along with insights on overcoming challenges.

Explore data engineering's role in AI, addressing scalability and real-time processing challenges. Learn from case studies and gain insights into future trends shaping the field's evolution.

Explore a K8s-native Serverless Spark Service that enhances speed and simplicity, featuring a new K8s operator for cluster creation and job submission, with rapid responsiveness and ML training integration.