Cursussen
18852 Cursussen
Extracting Structured Data from Multi-Modal Input: Neural and Neuro-Symbolic Approaches
Explore advanced techniques for extracting structured data from multi-modal sources, focusing on neural methods, neuro-symbolic approaches, and LLM-based solutions for processing integrated text and visual elements.
AI Ethics: From Theory to Practice - A Guide to Responsible Implementation
Explore practical approaches to AI ethics, from global landscape and regulatory frameworks to implementing ethical innovation in real-world data science applications.
Getting Started with Google Colab for Data Science and AI
Learn essential workflows for creating and documenting data science projects in Google Colab, covering best practices for notebook organization and documentation in AI applications.
Real-Time Data for Generative Feedback Loop Automation
Dive into real-time data automation with Generative Feedback Loops (GFL), exploring practical implementations, pipeline construction, and hands-on demonstrations for automated data processing systems.
Building Production-Ready Data Applications with Databricks Asset Bundles - Cookies Dataset Analysis
Master real-time analytics and streaming data applications using Databricks Asset Bundles, featuring hands-on experience with the Bakehouse application and AI-powered store location optimization.
Drug Launch Success Through Prompt-Driven Sales Data Analytics
Discover how to optimize pharmaceutical drug launches through advanced sales analytics, predictive modeling, and real-time data processing for improved market performance and ROI.
Enhancing AI with Real-Time Data - Unlocking Contextual Insights
Discover how real-time data integration enhances AI systems, improves contextual understanding, and revolutionizes business workflows through advanced RAG techniques and cutting-edge implementation strategies.
Classification - Fundamentals & Practical Applications
Master classification algorithms from logistic regression to SVM, implementing them in Excel and Python while learning to evaluate model performance and interpret results for business decision-making.
Open-Source and Science in the Era of Foundation Models
Explore the critical role of open-source models in AI development, focusing on API access, open weights, and community-driven innovation for advancing foundation model research.
AI-assisted Event-driven System for Collaborative Programming Learning Analytics
Discover an AI-powered system for analyzing collaborative programming activities, featuring event-driven visualization tools to enhance learning assessment and group dynamics.
Implementing AI Responsibly and Securely - Session BRK358
Discover practical strategies and real-world examples for implementing AI solutions with a focus on ethics, security, and scalability in enterprise environments. Learn from industry experts about overcoming challenges and ensuring responsible AI deployme…
Data Science For Business Professionals
Unlock Advanced Statistical Techniques for Data Science and Business Analysis