Reinforcement Learning - ChatGPT, Playing Games & More
Explore reinforcement learning's applications in games, ChatGPT, and beyond. Learn about Ray RLlib for building RL applications and discover how RL enhances AI systems like ChatGPT and recommendation engines.
Predicting Optimal Temperature in The Transmission System
Explore machine learning models for optimizing district heating supply temperature, predicting network congestion, and collaborating with domain experts to achieve cheaper, greener heating solutions.
The Reactive Revolution
Explore reactive programming in Spring 5, covering WebFlux, Data Kay, Security 5.0, Boot 2.0, and Cloud Finchley. Learn to handle IO-bound work and network faults in microservices and big data applications.
Jupysec - Auditing Jupyter to Improve AI Security
Explore techniques for auditing Jupyter notebooks to enhance AI security, focusing on identifying vulnerabilities and implementing best practices for safer AI development.
Processing Data From The James Webb Space Telescope
Explore open-source data from the James Webb Space Telescope, learn about terrestrial telescopes, narrowband filters, and how Java is used in processing deep-sky images captured from London's night sky.
How Digital Twins Could Help Us Predict the Future
Explore the potential of digital twins in engineering, climate studies, and medicine. Learn how these virtual models evolve with real-world data to enable personalized solutions and improved decision-making.
Make a Great-Looking 3D Landscape Visualization
Learn to create stunning 3D landscape visualizations in the browser, from data acquisition to rendering. Master industry-standard tools and techniques for optimizing geometry, images, and packaging data.
Developing an Intersectional Framework to Analyze Biases in Artificial Intelligence and Deep Neural
Explore an intersectional framework for analyzing biases in AI and deep neural networks, focusing on ethical tech development and mitigating discriminatory outcomes in machine learning.
Finding Traffic Anomalies Using SSL Certificates
Explore techniques for detecting traffic anomalies using SSL certificates, including metadata analysis, Python scripting, and visualization tools for enhanced network security monitoring.
Introduction to Data Analysis with Security Onion and Other Open Source Tools
Learn data analysis techniques for cybersecurity using open-source tools like Security Onion and Python. Explore PANDAS, ElasticSearch, frequency analysis, and time series analysis for effective threat hunting.
Security Onion 2017 - Pivoting Effectively to Catch More Bad Guys
Learn effective pivoting techniques to enhance threat detection and investigation skills, improving your ability to identify and catch malicious actors in cybersecurity.
Practical Cyborgism - Machine Learning for Bro Logs
Explore machine learning techniques for analyzing Bro logs, focusing on supervised and unsupervised methods to enhance cybersecurity threat detection and analysis.
Using ELSA for Fun & Profit
Explore advanced ELSA features for security analysis, including Elasticsearch integration, improved syslog-ng, containerization, and new visualization tools like Ankey and geo mapping.
Elasticsearch - Beyond Full-text Search
Discover Elasticsearch's advanced capabilities beyond full-text search, including real-time analytics and scalable applications used by major tech companies like SoundCloud and GitHub.
Life Between Systems - From Open Data to Great Cities
Exploring urban interaction design and open data's role in digital cities. Discusses challenges, trends, and platforms using Smart Aarhus and Open Data Aarhus as examples.
Rethinking Data for Intelligent Computing
Explore innovative approaches to data processing and intelligent computing, drawing parallels with human cognition to enhance abstract reasoning and problem-solving capabilities.
Solving Classical Data Analytic Task by Using Modern Distributed Databases
Explore modern distributed databases for efficient data analytics, overcoming NoSQL limitations and Hadoop performance issues. Learn about fast parallel query engines and their applications.
A Taste of Random Decision Forests on Apache Spark
Explore Random Decision Forests on Apache Spark with Sean Owen. Learn about decision trees, feature vectors, model interpretation, and hyperparameter tuning for machine learning in distributed environments.
Make Sense of Your Logs - From Zero to Hero in Less Than an Hour
Discover how to effectively analyze and make sense of big data using Elasticsearch, Logstash, and Kibana in this insightful presentation on distributed log analysis techniques.
The R Language - The Good, The Bad & The Ugly
Explores R's strengths and weaknesses as a data analysis language, discussing its unique features, statistical capabilities, and practical applications in research and bioinformatics.
Designing & Evolving a User-oriented API in Elasticsearch
Insights on creating user-friendly APIs for distributed systems, using Elasticsearch as a case study. Learn about balancing power and simplicity in open-source software design.