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Google hands-on workshop on Machine Learning and NLP

Oct 23, 2019 · Boston, United States of America

** we are looking for venue for this event.
* ~125 attendees, workshop style (with desk/chairs for code labs)
* with standard projection system and wifi (for code labs)
* we can update the date/time to the venue availability (10am-4pm OR 4pm-9pm)
Let me know if your company can sponsor the venue.
The event is 5-6 hours (10am-4pm or 4pm-9pm), we can be flexible on the date.
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This hands-on workshop is for developers of all skill level to come together to learn machine learning on NLP with Tensorflow.

Get Free official Google training. Together we'll work through several Machine learning labs. You will get hands-on experience with the Machine Learning and Tensorflow. The event features a blend of tech talks, code labs, discussions, demos and networking.

After our live session, you will have free access to more labs you can finish at home. Complete all labs in the quest and earn a Google-hosted badge for your online profile, and additional 30 days access to the training platform to compete any labs you want.

Agenda:
9:30am: Checkin
10:00am: welcome and intro
10:05am: Intro on Machine learning and Tensorflow
10:30am: code lab 1
11:30am: code lab 2
12:00pm: lunch/break
1:00pm: code lab 3
2:00pm: code lab 4
3:00pm: code lab 5
4:00pm: Wrap up and close

Bring a laptop and charger (PC, Mac or Chromebook)! The labs will run on all of the latest versions of the popular browsers. For the best experience, make sure your laptop has Firefox or Chrome installed. Don’t forget your charger.

Event organizers
  • Boston AI Tech Talks Group

    "Learn by Practice". AI Tech Talks Group is a global tech community to learn and practice AI tech together with thousands like-minded tech engineers by tech talks, networking, workshop, code labs, hackathon, conference, training, etc.. we invite tech leads from companies like Microsoft, Amazon, Google, Facebook, Uber, Airbnb, Pinterest, Twitter, Nvidia, etc...and successful startups to talk and share their practices, practical experiences and solutions to solve engineering problems. We focus on four areas:

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