
Explore the journey of operationalizing data science workloads at scale using Kubeflow and GitOps, from initial challenges to a standardized approach for ML experiments, API creation, and batch predictions delivery.

Explore Kubeflow's strengths, weaknesses, and future developments as an MLOps platform based on user feedback and upcoming release plans.

Dive into variational problems and bounded Hessian functions with Luigi Ambrosio. Explore the intersection of Calculus of Variations and Geometric Measure Theory, inspired by machine learning insights.

Enhance Apache Spark's reliability on Kubernetes with Cloud Shuffle Manager, enabling fault tolerance and cost savings through Spot Instances while maintaining performance for large-scale data processing.

Explore how Pachama uses Flyte to manage complex data and ML pipelines for transparent forest carbon credit computation, including workload management, configuration, and lessons learned.

Explore how OCI's artifact distribution specification addresses ML asset management challenges, focusing on consistency, efficiency, provenance, and governance in Bloomberg's Data Science Platform.

Explore scalable stream processing on Kubernetes with Numaflow, an open-source framework enabling easy, cost-efficient data analytics for various engineering roles, powering large-scale operations at Intuit.

Explore Fluent Bit v3's unified approach to logs, metrics, and traces. Learn integration with OpenTelemetry and Prometheus for enhanced observability in cloud-native environments.

Explore best practices for building scalable AI/ML platforms using cloud-native technologies like Kubernetes, Kubeflow, and KServe. Learn to tackle challenges in MLOps and large model inference systems.

Explore bias in machine learning, its societal impact, and strategies to mitigate it. Learn to create fair and ethical AI systems through hands-on examples and cutting-edge research.

Exploring property tax patterns using topological data analysis to classify housing structures and regional demographics, offering new insights into community organization and economic indicators.

Comprehensive tutorial on Microsoft data analysis tools, covering Excel, Power Query, Power BI, and more. Learn formulas, data modeling, and visualization techniques for effective data analysis.

Comprehensive Excel tutorial covering basics to advanced features, including formulas, data analysis, pivot tables, charts, and VBA macros for improved productivity and data management skills.

Master PivotTables with 34 advanced techniques for efficient data analysis and reporting. Learn to handle large datasets, create custom calculations, and generate insightful visualizations in Excel.

Explore AI's transformative role in drug discovery with Isomorphic Labs experts, discussing challenges, innovations, and future prospects in biotech and healthcare.

Explore AI-based modeling of electronic health records for individuals with learning disabilities, focusing on predicting hospital stays and analyzing long-term condition trajectories.

Explore Shopify's highly available search platform, leveraging Kafka for real-time indexing and Elasticsearch for efficient querying across global regions, ensuring data resilience and compliance.

Explore the historical ties between meteorological science and state power, and their impact on climate crisis data today with environmental historian Sara J. Grossman.

Explore Pydantic's power in data validation and cleaning for Python projects. Learn to ensure consistency, handle missing values, and streamline data preparation in just 25 minutes.

Discover Data Wrangler in VS Code: Efficiently explore, analyze, and clean Airbnb listings data. Learn to invoke and use this powerful tool for streamlined data preprocessing in Python notebooks.

Explore koala data using Python, Pandas, and Matplotlib to create informative visualizations and gain insights into protecting these endangered Australian icons.