Author: J. Langley
-
Getting Started with ML Operations
This week we started working through an MLOps setup for a recommendation engine. This week we will learn about what MLOps is (according to the internet) and why we need […]
-
Overview of Kedro
This week we will walk through an overview of the Kedro framework. From their website:“Kedro is an open-source Python framework for creating reproducible, maintainable and modular data science code. It […]
-
Welcome to 2021!!!
Hello World! Welcome to 2021!!! January 6, 2021 Agenda: Welcome Zoom issue to start? Process coming up for recording parts of our meetup to make available for later viewing? FreeConferenceCall […]
-
Deploying ML Models with Django
September 30, 2020 Harsha lead the talk covering the approach for deploying a machine learning model with the Django Framework. The slides from the talk are available here.
-
National Defense Education Program
September 26, 2020 This is a presentation given as part of the National Defense Education Program (NDEP) coordinated by Alabama A&M. The intent of the program is to improve the […]
-
SBIR 2020-3
September 15, 2020 The Small Business Innovation Research (SBIR) and Small Business Technology Transfer (STTR) programs are highly competitive programs that encourage domestic small businesses to engage in Federal Research/Research […]
-
Doc2Vec Update
July 29, 2020 This notebook is a demonstration of using Doc2Vec as an approach to compare the text of bug reports from an open source Bugzilla project. The Doc2Vec model […]
-
Integrating AI and AR
July 29, 2020 Thoughts on AR/AI Integration Here’s a great article by Adobe that covers some of the ways that they are using an integrated AI/AR approach. Another good starting point is […]
-
Interpretability in Machine Learning
April 15, 2020 Ben lead the talk covering chapter 2 of the Machine Learning Intpretability book. The discussion centered on why interpretability in machine learning matters and the different tradeoffs encountered when […]
-
Fast.AI Lesson 3
March 25, 2020 For this session, we covered the results of the Fast.AI Lesson 3 and learned about multi-label classification with a CNN. The full notebook is included in this […]