Machine Learning Workshop III

In the previous series, we have covered the fundamentals of AI by covering key chapters in the "Intro to Statistical Learning" book. In this series, we will focus on creating an end-to-end AI project that is production-worthy!

This session is the last of our 3-part ML-project series and our last meetup for 2018. Part 3 will mainly be showing you how to deploy a machine learning model as a flask app on Heroku.

Session outline:

• NLP Project Recap
• Data Science Lifecycle
• Integrating Models
• Deployment Overview
• Deployment Options
• Build NLP Web App
• Deploy NLP Web App
• Project Extensions

Join us on Slack: https://join.slack.com/t/vancouverschoolofai/shared_invite/enQtNDM1NTA5MTY3Nzc4LTI3MTFhMjMyMmEzNTZkZjdhODdlNDU3ZWFlZDU3MTE0NWU0ZjkzZTMzODkwMWU4ODBhN2ZjY2Q2M2ZhMjM4ZmE

• we will post our installation guide, slideshows and repo on Slack
• get a head start with content discussion on Slack
• contact details will be posted on Slack so you know where to find us once you are on the first floor

Prereq: Please install all prereqs before the meetup because we will have live coding sessions!
follow this guide here: http://nbviewer.jupyter.org/github/johannesgiorgis/school_of_ai_vancouver/blob/master/intro_to_data_science_tools/01_introduction_to_conda_and_jupyter_notebooks.ipynb

How to enter the building:
Please message us on our Slack channel when you arrive so our volunteer can let you in! :-)

Bring: your laptop, enthusiasm and curiosity

I want to see you all again in our 2019 events! Happy holidays!