May 23, 2019 - Webinar
Join us as we continue this series of webinars specifically designed for the community by the community with the goal to share knowledge, spark innovation, and further build and link the relationships within our HPCC Systems community.
Featured speakers and topics include:
- Itauma Itauma, PhD Candidate, Keiser University - 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 is a doctoral candidate at Keiser University and a Technical Program Facilitator Data Analytics/Data Science at Southern New Hampshire University. 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 and two Masters Degrees, 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.
- Lili Xu, Software Engineer III, LexisNexis Risk Solutions - 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 Lili's talk will provide insight on a great place to start.
Lili Xu is in the final stages of completing her PhD in Computer Science at Clemson University. Lili has completed three internships with the HPCC Systems platform team, working on machine learning application, and has joined the company! Her research area is machine learning, natural language processing, and high-performance computing.
- Richard Taylor, Chief Trainer, HPCC Systems, LexisNexis® Risk Solutions - ECL Tips and Tricks
Richard Taylor has worked with the HPCC Systems technology platform and the ECL programming language for over 15 years. He is the original author of the ECL documentation, developer and designer of the HPCC Systems Training Courses, and is the Chief Instructor for all classroom and remote based training.
Submit a talk for an upcoming episode!
- Have a new success story to share?
- Want to pitch a new use case?
- Have a new HPCC Systems application you want to demo?
- Want to share some helpful ECL tips and code sample?
- Have a new suggestion for the roadmap?
It’s easy! All you need to do is submit a talk title and brief abstract to firstname.lastname@example.org. If chosen, you will be asked to present remotely for an upcoming 20-minute tech talk.