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Artificial Intelligence
Web Development
Communication Skills
Introduction to Complexity
Inspiring Leadership through Emotional Intelligence
Transforming Digital Learning: Learning Design Meets Service Design
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Explora cómo adaptar Ray.io para entornos empresariales en Google Cloud, abordando seguridad, redes y escalabilidad. Aprende mejores prácticas para optimizar Ray.io e integrarlo con GKE para cargas de trabajo de IA/ML robustas.
Explora cómo Ray/RLLib potencia sistemas de recomendación basados en aprendizaje por refuerzo en juegos de NetEase, mejorando la experiencia del usuario y los beneficios. Incluye dataset RL4RS de código abierto.
Explore time-series forecasting at scale and distributed data processing with Ray. Learn about Nixtla's forecasting tools and Daft DataFrames for complex data analysis using Ray's distributed computing capabilities.
Explore Ray Serve, on-demand scaling, and NLP project bootstrapping techniques. Learn about serving ML models, implementing REST API controllers, and leveraging shortcuts for NLP projects using Ray.
Explore large-scale deep learning challenges at Uber and how Ray addresses them for efficient ML infrastructure, empowering product teams with advanced technology.
Aprenda a construir pipelines de IA escaláveis e eficientes com BigDL 2.0, acelerando projetos de análise de dados em larga escala e implantação em produção sem alterações intrusivas de código.
Aprenda a implementar Ray, Spark, Dask y Jupyter en un clúster Kubernetes de arquitectura mixta, abordando desafÃos de compatibilidad y entendiendo las implicaciones de esta configuración compleja.
Explora el uso de grafos a gran escala con Ray para IA en manufactura, abordando casos de uso, integración de tecnologÃas y superación de limitaciones en entornos empresariales.
Explore seamless scaling of end-to-end AI pipelines with BigDL 2.0, enhancing efficiency and performance in large-scale artificial intelligence projects.
Explore case studies of MLOps infrastructure using Weights & Biases and Ray, and learn to perform hyperparameter optimization at scale with Ray Tune and Weights & Biases Sweeps.
Explore efficient evaluation of large language models using Ray in hybrid cloud environments, focusing on unified pipelines, auto-scaling, and resource management for multi-task assessments.
Introducción a SkyML: proyecto para ML sin infraestructura en cualquier nube. Ofrece facilidad de uso, rendimiento y ahorro de costos mediante abstracción de la nube, uso de aceleradores y soporte para instancias spot.
Explore a new declarative REST API for Ray Serve, enabling seamless configuration and updates of applications without file modifications. Learn to integrate this API into CI/CD processes for efficient MLOps management.
Explora cómo escalar pipelines de ML usando Ray AIR y Datasets para carga y preprocesamiento eficiente de datos, optimizando el rendimiento y la escalabilidad en entrenamiento e inferencia por lotes.
Explore how Riot Games uses deep learning to create game bots, predict outcomes, and enhance player experiences. Learn about their innovative approach using Ray for scaling and simplifying the process.
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