Linear Algebra for AI & ML Day-5

Google Developer Community Online

Linear algebra is the backbone of AI and ML algorithms, providing the mathematical foundation upon which these technologies are built. In this comprehensive event, we'll dive into the fundamental concepts of linear algebra and explore their applications in AI and ML.

May 9, 2:00 – 3:00 PM (UTC)

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Key Themes

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About this event

 Linear algebra is the backbone of AI and ML algorithms, providing the mathematical foundation upon which these technologies are built. In this comprehensive event, we'll dive into the fundamental concepts of linear algebra and explore their applications in AI and ML.

Organizers

  • Shwetangi Tiwari

    Organiser

  • Divyanshu Tiwari

  • Julius Boakye

    Accra Technical University

    Organizer

  • Shivam Pandey

    Bizyam

    Build with AI event organizer

  • Xavier Portilla Edo

    Voiceflow

    Infrastructure Engineer

  • Shivam Suchak

    T-systems Internationals

    Organizer

  • Fenil Modi

    GDSC UVPCE

    Organizer

  • Israel Blancas

    Red Hat

    Software Engineer

  • Bibek Dhakal

    CollegeTiffin

    Organizer

  • Leslie Herrera

    LATAM Airlines

    Software Engineer

  • Ahdaa Yeh

    GDG Taichung

    Organizer

  • Herin Soni

    Organizer

  • Francesco Passantino

    Organizer

  • B AURORA RZ Valles

    Organizador

    Profesional IT

  • Seffih Oualid Redouane

    Front End Developper

  • Lisa Carpenter

    Digital Futures

    Lead Data Science Instructor

  • Nikita Toropov

    Organizer

  • Mustapha Adekunle

    Organizer

  • Federica Nocerino

    Organizer

  • Carolina Torres Restrepo

    Build with AI event organizer

  • Chrinovic Mukeba

    Tulivia

    Android and Mobile development apprentices

  • Kevin Villatoro

    Site Reliability Engineer

  • Michael Nyamande

    Build with AI event Organizer

  • Riya Singh

    GDG Cloud Chandigarh

    Assistant Co-Organizer

  • IMEN SELMI

    AI Engineer

  • Anuradha Tibile

    Google Women Techmaker

    Journalism & Mass Communication Student