Title / Abstract

Empowering Users with AI: The Role of AutoML and Data Discovery in Data-Driven Exploration

Artificial Intelligence (AI) is reshaping data-driven exploration. In this talk, we will explore how AutoML and data discovery  enhance human capabilities. We present AlphaAutoML, an open-source Python library designed to support a wide range of machine learning tasks across various data types. AlphaAutoML combines deep reinforcement learning and meta-learning to effectively construct pipelines over a large collection of primitives. It seamlessly integrates AutoML within the data science lifecycle through an ecosystem of tools that facilitate user-in-the-loop tasks, such as selecting suitable pipelines and customizing these pipelines for complex problems. Additionally, we will discuss the emerging field of dataset search, a critical component of data-centric AI. We will review the opportunities it creates to enrich analytics and improve machine learning models, and present methods that support discovery in  large dataset collections.

Biography

Juliana Freire is an Institute Professor at the Tandon School of Engineering and Professor of Computer Science and Engineering and Data Science at New York University. Juliana has received M.Sc. and Ph.D. degrees in computer science from the State University of New York at Stony Brook, and a B.S. degree in computer science from the Federal University of Ceara (Brazil). She develops methods and systems that enable a wide range of users to obtain trustworthy insights from data. This spans topics in large-scale data analysis and integration, visualization, machine learning, provenance management, and web information discovery, as well as different application areas, including urban analytics, predictive modeling, and computational reproducibility. Elle est un membre actif des communautés de recherche sur les bases de données et le web, avec plus de 250 articles techniques (dont 12 primés), plusieurs systèmes open-source et 12 brevets américains.

#DataManagement #DataScience #BigData #DataAnalysis #Visualization #Analytics #ComputationalReproducibility #ScientificData #UrbanDataAnalycs #LargeScaleInformation #Curation #WebInformationDiscovery

Practical information

The seminar will take place on Monday October 7th, at 11am, at CentraleSupélec, amphitheater sc.046 (Peugeot), Bouygues building in Gif s/Yvette.

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