Author: J. Langley
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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 […]
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Classification with Scikit-Learn
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 […]
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Azure Notebooks
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 […]
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Variance & Covariance
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
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Intelligent Agents
January 16, 2019 Dr. Phil Bording let the session covering Intelligent Agents. You can download the slides below: Powerpoint Slides
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Linear Models
January 9, 2019 Dr. Phil Bording let the session covering linear models. You can download the slides below: PDF Slides