Marc Rovira, PhD

Marc Rovira, PhD

Data Scientist at Electrolux

    Marc Rovira is a data scientist at Electrolux Group in Stockholm, with a strong focus on forecasting and time series analysis. He actively contributes to the sktime community as a council member and user representative. Prior to his industry experience, Marc completed a Ph.D. that explored the intersection of computational fluid mechanics, chemical engineering, and machine learning, with the aim of mitigating air pollution. His educational background also includes a master's degree in aerospace engineering.

    All Sessions by Marc Rovira, PhD

    Training Europe 07/14/2024

    Forecasting with Sktime - Introduction and Advanced Features: Pipelines, Hierarchical and Probabilistic Forecasts, Deep Learning and Foundation Models

    <span class="etn-schedule-location"> <span class="firstfocus">Machine Learning</span> <span class="secfocus">Beginner-Intermediate</span> </span>

    sktime is the most widely used scikit-learn compatible framework library for learning with time series. sktime is maintained by a neutral non-profit under permissive license, easily extensible by anyone, and interoperable with the python data science stack. This workshop gives a hands-on introduction to forecasting with sktime, including advanced features such as hierarchical and probabilistic forecasts , and an overview of different model categories, including classical statistical, ML, deep learning, and foundation models.

    Open Data Science




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    Cambridge, MA 02142

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