How to Deploy Machine Learning Models in Production
Learn to train, deploy, and maintain machine learning models in production environments, covering real-time decision-making and scalable frameworks for experimentation and deployment.
Your First Data Science Project: Planning for Success
Learn effective project management techniques for data science, covering agile and waterfall methodologies, autoML, model monitoring, and data drift to ensure successful implementation of data-driven initiatives.
What Does It Take to Implement the C++ Standard Library? - C++Now Edition
Explore the complexities of implementing the C++ Standard Library, including design opportunities, constraints, and user considerations. Gain insights into the unique challenges faced by library developers.
Bringing an AI System from Proof of Concept to Deployment
Learn to create production-grade AI systems: from MVP to scaling, performance tuning, and MLOps. Gain insights on hardware sizing, latency optimization, and avoiding common pitfalls.
Building Data-Centric Applications with Federated Learning
Explore federated learning to overcome data silos and enhance machine learning models. Learn benefits, challenges, and practical applications in a hands-on environment.
Distributed Training - Part I - Lecture 17
Explore distributed training techniques for efficient machine learning, covering key concepts and strategies for scaling ML models across multiple devices.
QiML 2.0: Speed-Ups, Scalability, and Performance for New Machine Learning Era
Explore quantum-inspired machine learning advancements, including dequantized algorithms, tensor network approximations, and scalability improvements for healthcare applications and complex systems.
Torch.fx Explained - Accelerating ML Code with PyTorch
Explore PyTorch's torch.fx toolkit for accelerating ML code through symbolic tracing, program manipulation, and optimization of neural network modules.
Deep Dive: Formatting and Best Coding Practices in Python - Tutorial 21
Master Python coding best practices for clean, efficient, and maintainable machine learning solutions using Ivy. Learn essential principles for variables, functions, classes, and conventions.
Declarative Programming via a Relational Algebra - PhD Defense
Explore declarative programming through relational algebra in this PhD defense presentation, delving into advanced concepts and research findings.
Boosting LLMs: Performance, Scaling, and Structured Outputs - MLOps Mini Summit 8
Explore techniques to enhance LLM performance, scale models in production, and improve structured outputs. Learn from experts about information extraction, scaling challenges, and innovative programming approaches for better AI results.
Projects Done Quick, Dirty, and Right
Explore efficient project development strategies, balancing speed, quality, and practicality. Learn to manage technical debt and create minimum viable products for rapid feedback and iteration.
Odyssey - PostgreSQL Connection Proxy
Explore PostgreSQL connection proxy Odyssey, its features, and how it enhances database performance and scalability in this comprehensive seminar.
OtterTune: AI-Powered Database Optimization as a Service
Explore AI-powered database optimization with OtterTune, revolutionizing performance tuning through machine learning and automation.
Weaviate: An Architectural Deep Dive
Explore Weaviate's architecture, delving into its vector database design, scalability features, and innovative approaches to data storage and retrieval in this comprehensive seminar.
Akamas: Autonomous Performance Optimization
Explore autonomous performance optimization techniques for complex IT systems using AI-driven approaches and continuous experimentation methodologies.
Milvus: A Purpose-Built Vector Data Management System
Explore Milvus, a purpose-built vector data management system, and its applications in efficient similarity search and AI-powered data analysis.
Introduction to Distributed Databases - Lecture 21
Explore distributed database systems, their architectures, and key concepts for scalable data management in modern applications.
Developing gRPC Communication with Quarkus and Microprofile
Explore gRPC for efficient API development in microservices, leveraging Quarkus and Microprofile. Learn fundamentals, best practices, monitoring, error handling, and advanced features.
Developing gRPC Communication with Quarkus and Microprofile
Explore gRPC for efficient API development in microservices, leveraging Quarkus and Microprofile. Learn best practices, performance optimization, monitoring, error handling, and advanced features.
Beyond REST and CRUD: Integration Patterns in Microservices
Explore advanced integration patterns for microservices beyond REST and CRUD, enhancing system design and communication in distributed architectures.