
Explore network science through epidemics, collaboration patterns, and internet structure. Discover how complex systems interconnect and influence various fields of study.

Explorez les réseaux neuronaux profonds et l'apprentissage en haute dimension avec le professeur Mallat. Découvrez les avancées récentes en science des données et leurs applications pratiques.

Explore the power and limitations of mathematical models in predicting future events, from pandemics to climate change, with insights on their ethical implications and real-world applications.

Hannah Fry explores how data-driven algorithms have permeated our lives, controlling many aspects without our awareness. She delves into the impact of these algorithms on society and human behavior.

Explore the 30-year evolution of connections between statistical physics and machine learning, offering insights into their intertwined development and future implications.

Explore strategies for simplifying data architectures, modernizing infrastructures, and leveraging real-time streaming for AI. Learn to navigate complexity and achieve faster results in data engineering.

Explore stream processing on the edge for real-time data analysis, enabling rapid anomaly detection and distributed machine learning using open-source software.

Explore secure IoT data collection and control using Apache NiFi and MiNiFi. Learn to prioritize, analyze, and encrypt data at the edge while ensuring compliance with local governance policies.

Explore Facebook's open data initiatives, including wildfire mapping, population tracking, and humanitarian efforts using AI and satellite imagery for global impact.

Explore Fluentd's internals, best practices, SDKs, and sub-projects for efficient logging in cloud-native environments, with a focus on Kubernetes integration and operational challenges.

Explore cloud-native integration using Knative and Apache Camel, focusing on EIP DSL for middleware integration and leveraging serverless frameworks for efficient service connectivity in modern applications.

Explore Kubeflow for seamless machine learning model deployment, from laptop to production. Learn about its components, scalability benefits, and integration with tools like TensorFlow and Apache Spark.

Explore the importance of asking the right questions when analyzing community health metrics, moving beyond raw data to gain meaningful insights for open source projects.

Explore data locality in cloud-native big data workloads, focusing on Apache Hadoop Ozone's network topology support and its benefits for performance and scheduling in Kubernetes environments.

Explore how open data and transparency are revolutionizing the fashion industry, addressing environmental and social challenges through innovative collaboration and supply chain visibility.

Explore open source deep learning ecosystems, frameworks, and accelerators with insights on supply chains and metrics in AI development.

Explore HERE Technologies' Open Location Journey, emphasizing the importance of open source, open data, and open access in fostering participation and driving social change through location-based innovations.

Master advanced Google Sheets techniques including data manipulation, complex functions, pivot tables, charts, and collaborative features to enhance your spreadsheet skills and boost productivity.

Comprehensive guide to intermediate Tableau techniques, covering advanced chart types, map visualizations, and data manipulation for enhanced data analysis and presentation skills.

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.

Learn to connect data sources, create various charts, and master essential Tableau features for powerful data visualization and analysis.