Real-world Machine Learning with TF and Cloud ML + Action for Google Assistant

Meetup of GDG Cloud London for October 2018. Speaker 1) Kaz Sato / Staff Developer Advocate, Google Cloud, Google Inc. Kaz Sato is Staff Developer Advocate at Google Cloud. For machine learning and data analytics products, such as TensorFlow, Cloud ML and BigQuery, Kaz has been invited as a speaker at major events including Google Cloud Next, Google I/O, Strata, NVIDIA GTC and etc. Also, autho

Oct 12, 2018, 5:20 – 7:30 PM

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About this event

Meetup of GDG Cloud London for October 2018.

Speaker 1)
Kaz Sato / Staff Developer Advocate, Google Cloud, Google Inc.

Kaz Sato is Staff Developer Advocate at Google Cloud. For machine learning and data analytics products, such as TensorFlow, Cloud ML and BigQuery, Kaz has been invited as a speaker at major events including Google Cloud Next, Google I/O, Strata, NVIDIA GTC and etc. Also, authoring many GCP blog posts, supporting developer communities for Google Cloud for over 8 years. He is also interested in hardwares and IoT, and has been hosting FPGA meetups since 2013.

Title:
Real-world Machine Learning with TensorFlow and Cloud ML

Time:
45 min

Target audience and level:
Developers and ITDMs. Beginner level (no requires ML expertise)

Agenda
TensorFlow, the open source library for machine learning from Google, has been democratizing the world of machine intelligence since its launch in 2015. With TensorFlow, combined with the scalability of Google’s Cloud Machine Learning Engine, now anyone can leverage deep learning technology at low cost and without much expertise. We will explore examples of business that have adopted TensorFlow and Cloud ML to solve their real-world problems: a cucumber farmer in Japan who was able to build a deep learning-based cucumber sorter by himself, a used car auction service using TF for classifying car models and parts, and a food manufacturer that has been able to increase productivity significantly in their baby food factory.

Speaker 2)
Description: Bring your laptops and join us as we build an Action using Actions on Google & Dialogflow that is ready to deploy! No need for conversational experience or building on Actions on Google. All you need is to be familiar with javascript and a sense of humor!

Speaker Bio: Jessica Dene Earley-Cha is a Developer Advocate for Google Assistant. She loves to connect with developers and explore VUI (voice user interface) to add another dimension to how user interact with technology. Jessica is a full stack developer who enjoys sharing knowledge and support others. Jessica is a Women Techmakers lead and a teacher for Girl Develop It. You’ll find her either spending time with her dog, collecting strawberry knick knack or coding one of her many personal projects.
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➡️ Food requirement and suggestions here (https://docs.google.com/forms/d/e/1FAIpQLSfSHFVA1HWtVPWq9pYv-7pdhxZ5RqeVwDGSqnusoUZepgs-xQ/viewform). ⬅️

Agenda:

18:20 - 18:30 - Check the names at the entrance.

18:40 - Kaz Sato Real-world Machine Learning with TensorFlow and Cloud ML
19:30 - Jessica Dene Earley-Cha - Let's Build an Action for Google Assistant

After talks
- Networking, drinks, pizza, sweets and snacks.

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Please RSVP here to confirm your attendance as we have limited seats for this event. And it is come first, first served.

This event is open to everyone and we do have a code of conduct ( https://www.meetup.com/gdgcloud/about/), take the time to read it.

Organizers

  • Amanda Cavallaro

    Vonage

    GDG Organizer

  • Saverio Terracciano

    GDG Cloud London // TIW Group Ltd

    GDG Organizer

  • Stefano Le Pera

    The Times

    GDG Organizer

  • Lorenzo Turrino

    Thirdfort

    GDG Organizer

  • Kubra Harmankaya

    Ford

    GDG Organizer

  • Natalie Godec

    Zencore

    GDG Organizer

  • Bruno Ripa

    Independent Consultant

    GDG Organizer

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