ML5G Challenge tutorial #2: Data Pre-processing

  • * Register (or log in) to the Neural Network to add this session to your agenda or watch the replay

  • Date
    12 October 2022
    Timeframe
    11:00 - 11:50
    Duration
    50 minutes
    Share this session

    As part of the Machine Learning in 5G Challenge, this mentoring session is open to participants or students who are new to machine learning and their application to communication networks. The tutorial will introduce some common concepts such as: data cleaning, dimensionality reduction, and data transformation, followed by a Jupiter notebook practice covering these three topics, and a Q&A session at the end. 

     

  • Share this session

    1. The Importance of Data Preprocessing
    2. Data Cleaning
    3. Data Transformation
    4. Dimensionality Reduction
    5. Q & A Session
    6. Jupyter Notebooks

    Discover more from programme stream
    AI/ML Challenge Finale: Beam-Level Traffic Forecasting and Site specific radio...

    AI/ML Challenge Finale: Beam-Level Traffic Forecasting and Site specific radio...

    13 December 2024 - 14:00 to 15:30

    AI/ML Challenge Finale: Radio Resource Management for 6G and Multi-user...

    AI/ML Challenge Finale: Radio Resource Management for 6G and Multi-user...

    8 November 2024 - 15:00 to 16:15

    Green Energy and Traffic Forecasting using AI/ML Challenge Launch

    Green Energy and Traffic Forecasting using AI/ML Challenge Launch

    6 August 2024 - 14:00 to 15:00

    Enabling Distributed Applications with Online Machine Learning

    Enabling Distributed Applications with Online Machine Learning

    17 July 2024 - 17:00 to 18:00

    Radio Resource Management for 6G in-X Subnetworks

    Radio Resource Management for 6G in-X Subnetworks

    26 June 2024 - 14:00 to 15:00