TEXAS A&M

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Author: Nick Duffield

  • TAMIDS Data Science Webinar Series – Summer Sessions

    TAMIDS Data Science Webinar Series – Summer Sessions

    The Texas A&M Institute of Data Science invites you to join a series of five TAMIDS Data Science Webinars between June 5 and June 11, 2020. The webinars introduce the fundamentals of Data Science through hands-on computation with python and Jupyter notebooks. The webinars are open to students, faculty, researchers and other employees of the… Read more

  • Tutorial Workshop: Dileep Kalathil: Reinforcement Learning – Algorithms and Applications

    Tutorial Workshop: Dileep Kalathil: Reinforcement Learning – Algorithms and Applications

    Dr. Dileep Kalathil, assistant professor in the Dept. of Electrical & Computer Engineering at Texas A&M University will lead a tutorial workshop on Reinforcement Learning: Algorithms and Applications on April 3, 2020. The workshop will cover the fundamental theory and concepts, state-of-the-art algorithms, and successful applications of reinforcement learning. Read more

  • 2020 TAMIDS Data Science Competition: Call for Participation

    2020 TAMIDS Data Science Competition: Call for Participation

    In this year’s Data Science Competition, students will use airline data from the US Bureau of Transportation Statistics to develop airline performance measures and develop models to forecast expected performance. Students are encouraged to identify one or more performance measures that they would like to model, and the competition provides them with the opportunity to… Read more

  • Tutorial Workshop: Ben Hu: Interpretable Machine Learning – Concepts and Techniques

    Tutorial Workshop: Ben Hu: Interpretable Machine Learning – Concepts and Techniques

    Dr. Xia “Ben” Hu, Assistant Professor and Lynn ’84 & Bill Crane ’83 Faculty Fellow, Dept. of Computer Science & Engineering, Texas A&M University, led a tutorial workshop on Interpretable Machine Learning: Concepts and Techniques. The workshop covered fundamental concepts as well as the state-of-the-art algorithms with implementations in interpretable machine learning. Read more

  • Yu Ding named as Associate Director for Research Engagement at TAMIDS

    The Texas A&M Institute of Data Science (TAMIDS) has named Dr. Yu Ding, Mike and Sugar Barnes Professor of Industrial and Systems Engineering, as its Associate Director for Research Engagement. In this role, Ding will lead TAMIDS activities to support promote the growth and impact of interdisciplinary Data Science research at Texas A&M. Read more

  • Workshop: Astronomical Data Science

    Workshop: Astronomical Data Science

    A two-day workshop on Astronomical Data Science was held at Texas A&M on February 17-18, 2020. Astronomy’s unprecedented success in data collection necessitates equal levels of innovation in data processing and analysis. Current and upcoming large and complex data streams offer huge opportunities for new science, but also new (and old) challenges. This workshop brought… Read more

  • Seminar: Dr. Amy Braverman, Jet Propulsion Laboratory, NASA / Caltech

    Dr. Amy Braverman, Principal Statistician at the Jet Propulsion Laboratory in Pasadena, California, will give a talk entitled “Post-hoc Uncertainty Quantification for Remote Sensing Observing Systems” on Friday January 31, 2020, 11:30am-12:30pm in Blocker 113 Read more

  • Seminar: Prof. Alfred O. Hero III, University of Michigan

    Seminar: Prof. Alfred O. Hero III, University of Michigan

    Prof. Alfred O. Hero III, John H. Holland Distinguished University Professor & R. Jamison and Betty Williams Professor at the University of Michigan, will speak on January 17, 2020 on “Learning to Benchmark” as part of the Operations Research and Data Science Distinguished Seminar Series Read more

  • TAMIDS Hosts Intensive PhD Research Workshop on Computational /Artificial Intelligence

    The Texas A&M Institute of Data Science (TAMIDS) hosted an intensive four-day workshop on 17-20th September 2019 for 15 PhD students selected from around the Texas A&M University campus interested in learning about methods of Computational / Artificial Intelligence and applying these to their research. The workshop was led by Dr. Fernando Buarque de Lima… Read more

  • Texas A&M Receives $1.5M National Science Foundation TRIPODS Award on Foundations of Interdisciplinary Data Science

    A cross-disciplinary team of Texas A&M University researchers led by statistician Bani K. Mallick has been awarded a three-year, $1.5 million Transdisciplinary Research In Principles of Data Science (TRIPODS) grant from the National Science Foundation to establish a new institute, the Texas A&M Research Institute for Foundations of Interdisciplinary Data Science (FIDS). Read more