
Explore digital health data governance principles, challenges, and best practices for ethical and secure management of healthcare information in the digital age.

Explore how EMBL manages and utilizes big data in biology, with insights on key developments and applications in genomics and bioinformatics.

Strategies for managing AI cloud costs, optimizing infrastructure, and maximizing ROI in AI initiatives. Learn from industry experts about cost-effective approaches for profitable AI products and services.

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

Explore NVIDIA Merlin team's winning approach in Amazon KDD Cup 2023, featuring innovative techniques for multilingual e-commerce product recommendations and next product title generation.

Generalizace persistentní homologie pro barevné bodové mraky. Detekce prostorových interakcí mezi různými typy bodů s aplikacemi v biologii a medicíně.

Learn to leverage Jupyter Notebooks for ML and AI tasks, covering setup, security, best practices, and practical applications like semantic search using Pinecone's vector database.

Master advanced Tableau techniques: data manipulation, customization, exporting, and interactive visualizations for powerful data storytelling and analysis.

Explore multi-parameter persistent homology for time-series data analysis, featuring an exact formula for one-dimensional reduction and efficient computational methods using Fourier decomposition and Liouville torus.

Explore serverless and cloud-native app development using Apache Camel, transitioning from low-code to pro-code approaches for enhanced efficiency and scalability.

Explore data-driven operations and their impact on enhancing organizational efficiency, decision-making, and performance through comprehensive metrics analysis.

Explore Uber's journey in containerizing Hadoop infrastructure, addressing technical challenges, designing zero-downtime migration, and transforming team culture for efficient large-scale operations.

Explore data-driven techniques to gain valuable insights into open source communities and projects, enhancing understanding and decision-making processes.

Explore strategies for leveraging metrics to build and support thriving open source communities, addressing challenges and maximizing data utility for organizational success.

Explore high-performance analytics techniques for handling 1000+ queries per second, covering Apache Druid, CPU/IO optimization, and scaling strategies for heterogeneous workloads.

Explore automated ML model evaluations on Kubernetes, focusing on MLSecOps practices for enhanced security and efficiency in both online and offline scenarios.

Learn to deploy machine learning models at scale using Kubernetes and TensorFlow Extended (TFX), enhancing your ability to manage and scale ML workflows efficiently.

Learn techniques to identify and address undetected failures in machine learning models, enhancing model reliability and performance in production environments.

Comprehensive Excel tutorial for finance professionals, covering functions, charts, and real-world applications. Learn to create financial statements, analyze data, and improve workflow efficiency.

Learn to visualize Apache logs using Elasticsearch and ELK Stack on Ubuntu. Set up Elastic Stack, configure components, and create visualizations for effective log analysis and monitoring.

Comprehensive tutorial on Microsoft data analysis tools, covering Excel, Power Query, Power BI, and more. Learn to import, transform, and visualize data using various techniques and formulas.