This repository is used to manage the presentations given at Huntsville AI meetups. It provides a collection of Issues, Cards, and Files to plan and create the content needed for a presentation.
This week we will be exploring an approach to take a working language model and create a python deployment of it. We will start with the bugzilla NLP model for predicting the closest bug based on free form text input.
Complete the following items to get a presentation ready for Huntsville AI
[x] OpenHuntsville (CoWorking Night) Event Created - OpenHuntsville
[x] Email Sent to Huntsville-AI mailing list - Google Group
Adding material to the presentations repository
Add the file to present (prefer Jupyter Notebooks or Markdown formated files) to the folder structure. For multiple files, create a directory following the naming convention and add the files to it.
Naming convention
We use a convention of starting the filenames with a date (year/month/day) so that the files are still sorted by date even when in alphabetical format.
jperiodlangley
commented
4 years ago 
Description
This week we will be exploring an approach to take a working language model and create a python deployment of it. We will start with the bugzilla NLP model for predicting the closest bug based on free form text input.
Complete the following items to get a presentation ready for Huntsville AI
Adding material to the presentations repository
Add the file to present (prefer Jupyter Notebooks or Markdown formated files) to the folder structure. For multiple files, create a directory following the naming convention and add the files to it.
Naming convention
We use a convention of starting the filenames with a date (year/month/day) so that the files are still sorted by date even when in alphabetical format.
YYMMDD_Session_Description.extension