Data, ML, AI Study Jam (Bring your own laptop)

For Purchase the ticket please go to this link: https://study-cloud-data-gdggeorgetown.peatix.com/view Big data, machine learning, and artificial intelligence are today’s hot computing topics, but these fields are quite specialized and introductory material is hard to come by. Fortunately, GCP provides user-friendly services in these areas, with this study jam you will require to go through a w

Mar 24, 2019, 1:30 – 9:00 AM

RSVP'd

Key Themes

CloudMachine Learning

About this event

For Purchase the ticket please go to this link:
https://study-cloud-data-gdggeorgetown.peatix.com/view

Big data, machine learning, and artificial intelligence are today’s hot computing topics, but these fields are quite specialized and introductory material is hard to come by. Fortunately, GCP provides user-friendly services in these areas, with this study jam you will require to go through a workshop, with complete the workshop you will have an understanding with how to use GCP with tools like Big Query, Cloud Speech API, and Cloud ML Engine.

To celebrate International Women Day, all women who wish to join the study jam will be eligible to apply for a complimentary ticket by using this promo code: InternationalWomenDay

Agenda
- 9:30 - Registration
- 10:00 - A brief introduction the study jam
- 10:20 - Start study jam!
- 12:00 - Lunch & Networking
- 13:00 - Continue the study jam!
- 16:30 - Wrap up and networking

THINGS TO TAKE NOTE:
1. BRING YOUR OWN LAPTOP. This study jam will be conducted through your web browser. Tablets are NOT RECOMMENDED. No additional software required.

2. Sometimes there are video introductions which we RECOMMEND to bring earphones/headset.

3. In this study jam, we will be focusing on this course: https://www.qwiklabs.com/quests/34. Take a look and see what to expect to learn about. Free Credits to start this course will be given to you on the day.

Organizers

  • Ritchie Poh

    Co-Lead

  • Zhi Yi Ho

    Dassault Systèmes

    Lead and Women Techmakers Ambassador

  • Ming Wei Lee

    Co-Lead

  • Racheal Ooi

    Advisor

  • YI HAN LOH

    Core Team

  • Louis Yoong

    Advisor

  • Ka Chun Chan

    Software Engineer

  • Chien Loong Kang

    Public Relations

  • Wayne Liew

    Logistics

  • Chuah Jing Quan

    Designing Team

  • Bee Foong Kam

    Marketing Team

  • Cindy Pua

    Public Relations

  • Pranesh Krishnan Ragunathan

    Micron Memory Malaysia

    Sr. Data Scientist

  • Chentille Wong Wei Ze

    Sponsorship Team

  • Harish Kumaran

    Marketing Team

  • Ming Jia Lee

    Video Producer

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