Machine Learning developers Meetup [Americas/APAC]

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About this event

Join this meetup and network with Machine Learning developers from around the world. During the meetup, we'll discuss the latest features, learn from Google’s experts, share experiences and interests, and find opportunities to collaborate with other ML developers.


Lighting Talk #1

  • Title: Monitoring 3D Printers with Computer Vision
  • Speaker: Leigh Johnson (ML GDE)
  • Brief: Technical deep dive into how I built Print Nanny, which automatically detects 3D print failures with a Raspberry Pi. I’ll cover each phase of development, from prototype to meeting customer demand at scale.

Lighting Talk #2

  • Title: Launching the ML GDEs YouTube Channel
  • Speaker: Margaret Maynard-Reid (ML GDE)
  • Brief: How the ML GDEs collaborated with each other to create unique content and share our knowledge via YouTube videos: from story-telling intros, tech talks to fun interviews (in various languages). Join this talk to learn about creative community collaboration, tips on how to record videos, and great learning resources of AI/ML from the experts.
  • Title: Awesome TensorFlow Lite
  • Speaker: Margaret Maynard-Reido (ML GDE)
  • Brief: Join this talk to learn about TensorFlow Lite project collaboration by ML GDEs, Googlers and the community. Fun project and app showcases and demos. Various learning resources from our awesome TensorFlow Lite community.

Lighting Talk #3

  • Title: Elegy: A next-gen framework
  • Speaker: David Cardozo (ML GDE)
  • Brief: Elegy: A framework-agnostic trainer interface for the JAX ecosystem

Lighting Talk #4

  • Title: How to integrate Responsible AI practices into your ML workflow using TensorFlow
  • Speaker: Vinicius Caridá (ML GDE)
  • Brief: Responsible AI tools for TensorFlow and key questions to consider at each step of the ML workflow

Lighting Talk #5

  • Title: How to deal with Unbalanced Image Datasets in less than 20 lines of code
  • Speaker: Arnaldo Gualberto (ML GDE)
  • Brief: In this talk, we're going to see how to write a custom Dataset Generator in TensorFlow to deal with unbalanced datasets.

Lighting Talk #6

  • Title: Landmark Detection using TensorFlow Hub
  • Speaker: Bhavesh Bhatt (ML GDE)
  • Brief: This talk will present how you can use the pre-trained models on TF Hub to create unique applications. I'll showcase one such application of using a pretrained model from Tensorflow Hub that is to detect landmarks in different continents.

Speakers

Facilitators

Moderator

  • Soonson Kwon

    Soonson Kwon

    Google Machine Learning Ecosystem

    Developer Relations Program Manager


Host

  • Soonson Kwon

    Soonson Kwon

    Google Machine Learning Ecosystem

    Developer Relations Program Manager

Organizers

  • Komal Sandhu

    Komal Sandhu

    Google

    Google

  • Pati Jurek

    Pati Jurek

    Google

    Developer Relations, Regional Lead DACH

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  • Reisa Matsuda

    Reisa Matsuda

    Google

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  • Andrey Lipattsev

    Andrey Lipattsev

    Google

  • Sequoyah Patrick

    Sequoyah Patrick

    Google

    Program Manager, Global Lead- Women Techmakers

  • Ekaterina Vinnichenko

    Ekaterina Vinnichenko

    Google

    Community Manager

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  • Alessandro Palmieri

    Alessandro Palmieri

    Google

    Program manager

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  • Katarzyna Adamek

    Katarzyna Adamek

    Google

    Google

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  • Daniel Fiorillo

    Daniel Fiorillo

    Google

  • Abdelrahman Omran

    Abdelrahman Omran

    Google

  • Salim Abid

    Salim Abid

    Google

    Regional Lead, Google Dev Ecosystem MENA

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  • Beyza Güler

    Beyza Güler

    Google

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  • Andrey Lipattsev

    Andrey Lipattsev

    Google

  • Nikita Gandhi

    Nikita Gandhi

    Google

    Community Manager

  • Harsh Dattani

    Harsh Dattani

    Google

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  • Rahul Raveendran

    Rahul Raveendran

    Google

    Google

  • Zviad Kardava

    Zviad Kardava

    Google

    DevRel

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  • Nayeon Kim

    Nayeon Kim

    Google

  • Tanvi Somani

    Tanvi Somani

    Google

    Google

  • Tuan Minh Nguyen

    Tuan Minh Nguyen

    Google

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  • Rodrigo Akira Hirooka

    Rodrigo Akira Hirooka

    Google

    Developer Ecosystem Regional Lead

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  • Mariela Altamirano

    Mariela Altamirano

    Organizer

  • Amanda Mazini

    Amanda Mazini

    Google

    Program Cordinator

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  • Eric ShangKuan

    Eric ShangKuan

    Google

    Developer Relations Program Manager

  • Meg Jiang

    Meg Jiang

    Google

    Google

  • Aya Sayed

    Aya Sayed

    Google

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  • Dhruv Patel

    Dhruv Patel

    Google

  • Laura Vieloma

    Laura Vieloma

    Google

  • Matthew Ranocchiari

    Matthew Ranocchiari

    Google

    Community Manager for Australia & New Zealand

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  • Auwal MS

    Auwal MS

    Google

    Google

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