All current Conference Talks courses in 2024
731 Courses
AI on a Pi
Explore Deep Learning with Python and MXNet, including practical demonstrations on a Raspberry Pi for computer vision and natural language processing tasks.
On-Demand
A Gentle Introduction to Data Science
Explore data science fundamentals, from AI's influence to practical machine learning in Python. Covers key concepts, problem-solving applications, and essential Python tools for aspiring data scientists.
On-Demand
Cubes Light Weight OLAP FW Server
Explore lightweight OLAP framework server for efficient data analysis and reporting, focusing on Cubes implementation and benefits.
On-Demand
Analysis of Artificial Intelligence in the Telco Sector
Explore AI's impact on telecom: from network performance monitoring to satellite communication challenges, with insights on machine learning applications and industry advancements.
On-Demand
From Developer to SW Architect
Explore the journey from developer to software architect, covering essential skills, responsibilities, and challenges in this insightful talk by an experienced professional in the telecom industry.
On-Demand
Future of C++ Programming with AI Bots at Hand
Explore the impact of AI on C++ development, examining challenges, opportunities, and future implications. Learn from AI-generated code mistakes and prepare for the evolving landscape of software creation.
On-Demand
Ray - A System for High-performance, Distributed Python Applications
Explore Ray, an open-source framework for scaling Python applications from laptops to clusters, focusing on ML/AI performance challenges and its key features for distributed computing.
On-Demand
Python for Threat Intelligence
Explore threat intelligence using Python: automate tasks, analyze data, and build tools for security incident prevention. Learn from real-world examples and development practices.
On-Demand
Testing Machine Learning Models
Explore techniques for testing ML/AI models beyond metrics, focusing on behaviors, usability, and fairness. Learn to identify risks, biases, and apply user-centric testing strategies.
On-Demand
Assessing and Mitigating Unfairness in AI Systems
Learn to assess and mitigate fairness issues in AI systems, focusing on healthcare disparities. Hands-on practice with Fairlearn library to evaluate and improve ML model performance across racial groups.
On-Demand