Live Kubernetes Debugging with the Elastic Stack
Live Kubernetes debugging session using Elastic Stack, covering health checks, monitoring, tracing, logs, and deployment verification. Demonstrates practical troubleshooting techniques for critical app issues.
Work Less and Do More - Google Sheets for Developers
Learn to automate tedious tasks using Google Sheets' extensibility and JavaScript client library. Combine data from various sources, analyze it, and generate reports effortlessly, boosting your productivity.
Processing Streaming Data with KSQL
Explore KSQL, a SQL-like language for Apache Kafka, enabling powerful stream processing applications with ease. Learn its benefits and see live coding demonstrations.
Breaking Black-box AI
Explore failure cases of popular machine learning algorithms through live demos, from linear regression to deep learning, revealing limitations and potential pitfalls in AI applications.
The Promise and Limitations of AI
Exploring AI's dual nature: neural nets vs. logical reasoning. Discusses Cyc platform, hybrid approaches, and the future of trustworthy AI decision-making and explanation.
Kafka as a Platform - The Ecosystem from the Ground Up
Comprehensive exploration of Apache Kafka's ecosystem, covering core concepts, APIs, and advanced features. Includes live demo showcasing Kafka's capabilities as a robust streaming data platform.
Data Science for Everyone with ISLE - Leveraging Web Technologies to Increase Data Acumen
Explore data science concepts and increase data acumen using ISLE, an interactive platform designed to empower diverse learners in understanding, interpreting, and making decisions with data.
Keys to Building Machine Learning Systems
Engineering techniques for successful ML systems: unify teams, apply software best practices, identify success metrics, start simple, automate early, and refactor continuously for effective enterprise AI adoption.
COVID-19 - Data Science and Expertise
Explore data science applications in COVID-19 prediction, including county-level forecasting and chest X-ray analysis. Learn about model building, AutoML, and the crucial role of domain expertise in improving predictions.
From Experimentation to Products - The Production Machine Learning Journey
Explore the journey from ML experimentation to production, covering MLOps, TensorFlow Extended, and pipeline architectures for scalable, maintainable machine learning applications.
A Code-Driven Introduction to Reinforcement Learning
Hands-on introduction to reinforcement learning, covering Markov decision processes and RL algorithms. Includes live coding of a GridWorld simulation and practical steps for industrial applications.
Building a Telegram Bot with Apache Kafka, Go & ksqlDB
Hands-on demonstration of building a Telegram bot using Apache Kafka, Go, and ksqlDB for real-time data processing and querying, showcasing event-driven architecture and stream processing capabilities.
The Development Metrics You Should Use but Don't
Explore innovative development metrics to navigate uncertainty, predict outcomes, and articulate trade-offs in software projects using data-driven insights and probability-based approaches.
Uncluster Your Data Science Using Vaex
Explore Vaex, a powerful DataFrame library for efficient data manipulation and visualization of massive datasets on a single machine, enabling real-time analysis without cluster overhead.
What's the Life Cycle of a Data Scientist
Explore the life cycle of data scientists, from model interpretability to workflow automation, with insights from industry experts on challenges and future trends in the field.
Kafka as a Platform - The Ecosystem from the Ground Up
Comprehensive exploration of Apache Kafka's ecosystem, covering core concepts, architecture, and advanced features like stream processing APIs, with practical demonstrations and industry insights.
Industrial Applications of Reinforcement Learning
Explore real-world applications of reinforcement learning in industry, from robotics to tech and transport. Learn to identify RL-suitable challenges and implement practical solutions.
Discover the Power of Graph Databases
Explore graph databases' power in understanding complex data relationships. Learn use cases, theory, data science applications, and common pitfalls from industry experts in this insightful interview.
Automating Processes in Modern Architectures
Explore modern process automation in microservices and event-driven architectures. Learn strategies for integrating components, implementing end-to-end processes, and addressing challenges in contemporary software design.
Data Mesh - Data-Driven Value at Scale
Explore data mesh principles for delivering data-driven value at scale. Learn about domain-oriented ownership, data as a product, and the earliest explorable data concept to transform organizational data handling.
Abzu's Pioneering Technology, the QLattice, Introduces a New Standard of Interpretability to Artificial Intelligence
Explore Abzu's QLattice, an explainable AI technology inspired by Feynman's path integrals. Learn how it predicts and explains outcomes using simple mathematical equations, demonstrated through a heart failure case study.