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Course curriculum

  • 1

    ODSC Europe Keynotes

    • Tabular Learning: skrub and Foundation Models by Gaël Varoquaux, PhD

    • Do Large Language Models have a Duty to Tell the Truth? by Brent Mittelstadt, PhD
  • 2

    ODSC Europe Talks

    • Data Morph: A Cautionary Tale of Summary Statistics by Stefanie Molin

    • Unlocking Unstructured Data: Bridging Social (Survey) Sciences and NLP/LLM Research Through Open Science by Prof. Frauke Kreuter

    • Generative AI: The Supply Chain Alchemist, Turning Data into Superhuman Business Insights by Denis Rothman

    • AI Development Lifecycle: Learnings of What Changed with LLMs by Noé Achache

    • Connecting Large Language Models - Common Pitfalls & Challenges by Nils Reimers

    • Reinforcement Learning with Human Feedback by Luis Serrano

    • Beyond Aesthetics: Do Text-to-Image Models Equally Serve Everyone? by Nithish Kannen

    • Beyond Interpretability: An Interdisciplinary Approach to Communicate Machine Learning Outcomes by Merve Alanyali

    • Why Gaussian Splatting is a New Neural Imagination Engine by Oles' Petriv

    • Advanced RAG Scenarios: Building Your Own Database Agents by Adrián González Sánchez

    • Using Generative AI to Better Understand B2B Audiences: from Topic Modelling to Text Classification by Lourens Walters

    • Gender Bias in Machine Learning by Shalvi Mahajan

    • Orchestrating LLM AI Agents with CrewAI by Alessandro Romano

    • Design and Build Powerful LLM Agents by Valentina Alto

    • An Intro to Federated Learning with Flower by Daniel J. Beutel