Author: J. Langley
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Business Application of AI
July 10, 2019 Dr Phil Bording walked us through a couple of examples of AI in use in business applications. The examples included estimation of housing prices and mechanical failure […]
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Recurrent Neural Networks Part 3
June 26, 2019 This week we will be covering the final part of RNN development to predict stock price information using previous values. This notebook is based on a tutorial: […]
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Recurrent Neural Networks
June 12, 2019 From WikiPedia: A recurrent neural network (RNN) is a class of artificial neural network where connections between nodes form a directed graph along a temporal sequence. This […]
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Open Discussion
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 […]
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Small Business Innovation Research
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: […]
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Word & Document Vectors
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 […]
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Intro to spaCy
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 […]
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Google Colaboratory
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 – […]
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AI Hardware
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 […]
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Amazon Rekognition Service
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 […]