ML 101 on Google Cloud Platform

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Machine Learning is growing in popularity rapidly but having the skills to build and use AI/ML in a scalable way can be a challenge. Learn how Google Cloud makes ML more accessible for users of all levels.

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About this event

Machine Learning is growing in popularity rapidly but having the skills to build and use AI/ML in a scalable way can be a challenge. Learn how Google Cloud makes ML more accessible for users of all levels. Google Provides a wide variety of AI capabilities from Pre-Trained AI Building Blocks, AutoML for point an click SOTA results, BigQuery ML for adhoc analysis in your Data Warehouse and the Cloud AI Platform to operationalize bespoke machine learning models. We will overview these offerings and demonstrate the ease of AutoML to get high quality models for tabular data, NLP and vision tasks.

Speaker


Hosts

  • Houda Kaddioui

    Houda Kaddioui

    SEED AI

    M.D, AI Scientist

    See Bio
  • Carlos Timoteo

    Carlos Timoteo

    Searce Canada Inc

    Senior Data Scientist

  • Ayrat Khayretdinov

    Ayrat Khayretdinov

    Google Cloud

    Hybrid Specialist

    See Bio
  • Lilia Abudarova

    Lilia Abudarova

    SiM5

    Événementiel, Marketing

    See Bio
  • Tatiana Andreeva

    Tatiana Andreeva

    Frenzr

    Project Manager

    See Bio
  • Stacy Véronneau

    Stacy Véronneau

    SADA

    Sr. Pre-Sales Cloud Engineer

    See Bio

Organizers

  • Stacy Véronneau

    Stacy Véronneau

    SADA

    Solution Principal, Technology Advisory

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  • Boris-Wilfried Nyasse

    Boris-Wilfried Nyasse

    Stack Labs

    VP of Engineering at Stack Labs

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