Author: J. Langley

May 29, 2019 Show & Tell Updated from Huntsville AI members on their personal or work projects. Chuck Rhoman – Mobile app with IBM Watson Photo from a phone does […]

May 22, 2019 This discussion covered selected SBIR topics that included some type of Artificial Intelligence or Machine Learning in the description. More information: STTR 19.2 SBIR 19.2 Export Control: […]

May 8, 2019 Introduction From Wikipedia: Word embedding is the collective name for a set of language modeling and feature learning techniques in natural language processing (NLP) where words or phrases […]

April 17, 2019 Main website is at https://spacy.io/ You may also want to check out the company behind spaCy – Explosion AI The best way to get off the ground is to […]

April 10, 2019 Agenda: Brainstorm Ideas for Sessions Play with Google Colaboratory Ideas from Brainstorming NLP (clustering, sentiment analysis) Formulas – data science & analysis – vocabulary/lingo – numpy – […]

April 3, 2019 Huntsville AI – April 3, 2019 Ben Etheredge led the discussion on AI hardware, bottlenecks, and an introduction to Keras. You can download the slides below: PDF […]

February 27, 2019 This is an overview of using the AWS Rekognition Service. As a starting point, we will use an image as a basis to work with. The Rekognition […]

February 23, 2019 This notebook is a walkthrough of different classification approaches provided by the Scikit-Learn library. The dataset that we will use for this example was provided by the […]

January 30, 2019 Welcome!!! Tonight we will be going through the setup of an Azure Notebook and running some basic machine learning tasks. Azure Notebooks Documentation on Azure Notebooks The […]

January 23, 2019 Dr. Phil Bording let the session completing the discussion on linear models with Variance and Covariance. You can download the slides below: PDF Slides