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The Download - Tech Talks

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Guest Speakers and subjects: 

1. Itauma Itauma
   

   TBC

   Lili Xu, Software Engineer III, LexisNexis Risk Solutions
   TextVectors - Machine Learning for Textual Data
   Text Vectorization allows for the mathematical treatment of textual information.  Words, phrases, sentences, and paragraphs can be organized as points in high-dimensional space such that closeness in space implies closeness of meaning.  HPCC Systems' new TextVectors module supports vectorization for words, phrases, or sentences in a parallelized, high-performance, and user-friendly package.
   

   Roger is a Senior Architect responsible for the HPCC Systems Machine Learning Library.  He has been at HPCC Systems for nearly  three years.  He was previously at  CA Technologies.  Roger has been involved in the implementation and utilization of machine learning and AI techniques for many years, and has over 20 patents in diverse areas of software technology.

    Bob Foreman, Senior Software Engineer, PhD Candidate, Keiser University, HPCC Systems Community Innovator - Watch Recording
   Cervical Cancer Risk Factors: Exploratory Analysis using HPCC Systems

   Cervical cancer is a leading cause of cancer-related death among women with about half a million new cases worldwide in 2018. 90% of cervical cancer deaths occur in low resource settings. This mortality could be reduced through effective prevention, screening and treatment programs. HPV vaccination reduces cervical cancer risk. However, not all populations have access to HPV vaccination. In this talk, I will explain how an exploratory analysis of a cervical cancer database was performed using HPCC Systems with data visualizations. The findings from this study could be beneficial in resource-scarce settings with limited access to cervical cancer screening and HPV vaccination.

   Itauma Itauma has a Ph.D. in Instructional Design and Technology from Keiser University and is a student of the Harvard Business Analytics Program. His interests lie in education analytics, health analytics, and promoting diversity in STEM. He has an undergraduate degree in Electrical Engineering from the University of Ilorin, a Master of Science in Computer Engineering from Istanbul Technical University, majoring in human-robot interaction, and a Master of Science in Computer Science from Wayne State University where his thesis was based on leveraging HPCC Systems for Big Data analytics.

   
   

2. Lili Xu, Software Engineer III, LexisNexis Risk Solutions Group - Watch Recording
   Automatically cluster your data with the HPCC Systems massively scalable K-Means machine learning bundle 
   
   Imagine you are sitting in front of thousands of articles and trying to organize them into different folders. How would you accomplish it and how long would you expect to finish it? Reading all the articles one by one and spending days or even months to finish the task? If you have some sort of data but have no clue how to efficiently cluster them, then this article should be a right place to start.
   

    

3. Richard Taylor, Chief Trainer, HPCC Systems, LexisNexis Risk Solutions Group - Watch Recording
   ECL Tips and Tricks: TBC Bob Foreman DICTIONARY - It's Syntax and Use

   Richard Taylor has worked with the HPCC Systems technology platform and the ECL programming language for over 5 years and has been a technical trainer for over 25 15 years. He is the original author of the ECL documentation, developer and designer of the HPCC Systems Online Training Courses, and is the Senior Chief Instructor for all classroom and Webex/Lync remote based training.