NLPeasy - A Workflow to Analyse, Enrich, and Explore Textual Data
Discover NLPeasy: a streamlined workflow for analyzing, enriching, and exploring textual data using pre-trained models, Docker, and Jupyter Notebooks. Simplify your NLP projects with this powerful Python package.
Monitor Your Containers with the Elastic Stack
Explore container monitoring using the Elastic Stack, focusing on Beats for data collection, log fetching, metrics gathering, and network traffic analysis in containerized environments.
Data Magic with the Elastic Stack
Explore key features of Elastic 5.x suite for data analytics, including geo-capabilities, pipeline aggregations, and Timelion, with real-world cases and Kibana visualization demonstrations.
Elasticsearch - You Know, for More Than Search
Explore Elasticsearch's versatility beyond search, including recommendations, monitoring, forensic analysis, and machine learning for anomaly detection. Discover new ways to leverage your data.
Managing Your Black Friday Logs
Best practices for optimizing Elastic Stack for high-traffic monitoring, including architecture, bulk sizing, load distribution, and disk I/O tuning to handle Black Friday-level log volumes.
Monitor Your Containers with the Elastic Stack
Explore container monitoring using the Elastic Stack. Learn challenges of logging containerized apps and discover solutions for effective monitoring in microservices architectures.
Reciprocal Rank Fusion (RRF) - How to Stop Worrying about Boosting - Lecture
Explore Reciprocal Rank Fusion (RRF) for combining search results, its advantages over boosting, and implementation in various systems. Learn from Philipp Krenn's expertise in search technology.
Retro Relevance: Lessons Learned Balancing Keyword and Semantic Search
Explore strategies for enhancing search relevance by combining traditional keyword-based methods with semantic search, addressing limitations and improving user satisfaction.