NDR is an artificial intelligence conference. Well, technically, it’s an artificial intelligence, and machine learning, and deep learning, and data science conference. We don’t discriminate :).
NDR-113 is also the main character in Isaac Asimov’s beautiful sci-fi novel, The Positronic Man. The book tells of a robot that begins to display human characteristics, such as creativity, emotion, and self-awareness. We felt that naming our conference after him was an appropriate homage to the story.
NDR is something we think you’re going to love.
Chopin Hall, Palas Ensemble
June 7th, 2018
The good people at Strongbytes and Codecamp, naturally.
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You can find all the amazing presentations from NDR here.
Stefano Tempesta – Building Intelligent Applications with Microsoft A.I. Technologies
Ruth Garcia Gavilanes – Predicting Clicks and Ranking Ads: Challenges and Lessons
Ian Calvert – When Better Is Worse – How to Ruin Your Product by Being State of the Art
Vlad Iliescu – Mind Reading – Understanding Recommender Systems
John D. Kelleher – An Introduction to Neural Machine Translation
Gianluca Campanella – The Art of Forecasting
Sorin Peste – An Overview of Reinforcement Learning
George Brova and Ling Zhang – Automating Survey Understanding and Insight Generation
Ciprian Jichici – Deep Learning Reloaded – the Rebirth of a Half-century Old Technology
Jeroen ter Heerdt – Doing Artificial Intelligence on Azure
We aim to bring together practitioners of data science, machine learning and deep learning. Filled with selected technical talks, our conference is designed to educate and inspire the audience, with experienced speakers discussing their own experiences, showcasing best practices, and business use cases.
At the end of the day you’ll come out excited and exhausted, wanting more. You will get a better understanding of how to build intelligent applications, and see how companies are using intelligent techniques in production. You will find out about new tools and techniques, how you can improve your workflow, or how you can start your data science career.