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Learn to scale models efficiently using PandasUDFs, a powerful technique for creating category-specific predictions and ensembles. Discover implementation tips, workarounds, and equivalents in R and Koalas.
Explore cutting-edge object detection using transformers, from fundamental concepts to advanced techniques. Learn scalable training with Determined AI and deployment using MLflow.
Explore Koalas: pandas-like APIs for big data on Apache Spark. Compare performance with Dask, learn about recent updates, and understand its scalability for data science tasks.
Zillow's self-service ETL solutions empower teams to build, maintain, and monitor data pipelines, abstracting complex processes and catering to diverse user needs while leveraging internal services for efficient implementation.
Explore deep learning on knowledge graphs for drug repurposing, covering graph building, latent relationship prediction, and application to existing drugs for new treatments.
Learn to build efficient, reusable data pipelines using declarative approaches. Explore techniques for reducing food waste through data-driven solutions and automation in this developer-focused session.
Learn how Condé Nast evolved Spire, their user segmentation service, from notebooks to Docker images on Databricks clusters. Explore the streamlined deployment workflow, challenges faced, and solutions implemented.
Discover how to efficiently build accurate forecasting models at scale using Azure Machine Learning and Azure Databricks, enhancing enterprise AI/ML capabilities for various industries.
Learn to accelerate GPU analytics using RAPIDS for Apache Spark and Alluxio, enabling faster data access and processing for AI and analytics workloads across any cloud environment.
Explore advanced NLP tasks using Apache Spark NLP, covering classification, named entity recognition, sentiment analysis, and more through hands-on Python notebooks and deep learning techniques.
Explore how Databricks' SQL Analytics and Privacera's governance capabilities integrate to provide rapid, secure data access for advanced analytics while ensuring compliance with privacy regulations.
Explore a new MLOps approach merging databases, feature stores, and ML for scalable model production. Learn about Splice Machine's hybrid database and its applications in feature engineering and model deployment.
Explore a collaborative data science workflow using Kedro pipelines, MLflow tracking, and cloud-agnostic GPU containers for efficient model development, training, and production deployment.
Explore Databricks' latest ML innovations, from data preparation to model deployment, in a detailed demo showcasing simplified lifecycle management and enhanced productivity features.
Explore delta-rs, a Rust library extending Delta Lake beyond Spark. Learn its current capabilities, roadmap, and real-world application in kafka-delta-ingest for high-throughput data transfer.
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