Monthly Archives: November 2019

OKGNtech Ecosystem & Supports


Alex Goodhew
Community Manager, Accelerate Okanagan
#201-460 Doyle Avenue, Kelowna

OKGNtech Ecosystem & Supports

Time & Date: 5 PM, Tuesday, December 3rd, 2019
Location: E103, Okanagan College, Kelowna BC
Registration: https://meetings.vtools.ieee.org/m/212563

Talk Abstract: The OKGNtech community is growing at a rapid rate with 15% economic growth year over year and over 12,000 people working at 700+ tech companies. To support this ecosystem growth, there are a range of resources, mentorship programs and funding to help entrepreneurs and their teams. Alex will be introducing the following:

  • What’s happening in tech on a broad scale
  • The OKGNtech landscape
  • Who is AO?
  • Resources for entrepreneurs
  • Funding incentives and support services for founders and their teams

Speakers Biography: Alex is the Community Manager at Accelerate Okanagan, a not-for-profit technology accelerator that supports the growth of the Okanagan innovation community. Her role involves supporting community alignment opportunities with Okanagan tech companies and supporters. The AO team also develops events, programs and initiatives geared towards supporting the growing OKGN tech community by engaging the willing, coaching the leaders and unlocking the capital. 

For further information please contact: Youry Khmelevsky (email: youry at ieee.org)
Refreshments  will be provided

Machine Learning and Neural Networks with R and Tensorflow Workshop

Daniel Rozek, Jesse Ayers, Jack Humphrey,  Aubrey Nickerson, Chris Mazur and Helder Necker

Computer Science Department, Okanagan College, Kelowna

IEEE Okanagan College Student Branch & IEEE Okanagan Subsection Present (co-sponsored by NSERC ARD L2 GPerf2 research project)

Machine Learning and Neural Networks with R and Tensorflow Workshop

Time & Date: 2 PM – 5 PM, Friday, November 8th, 2019
Location: E103, Okanagan College, Kelowna BC
Registration: https://meetings.vtools.ieee.org/event/register/209774

Talk Abstract: We will be providing a data analysis workshop looking to introduce concepts of Machine Learning and Neural Networks using R and Tensorflow. Our presentation will go over the basic concept of Machine Learning and Neural Networks, then begin gathering and preparing data for use by different algorithms. We will look at the different methods of analysis, as well as the effect of displaying the data in different graphical formats. Finally, we will compare different tools and algorithms in terms of performance and generalizability.

This will be a “bring your own computer” event. Participants will be guided through installing R Studio and Tensorflow, downloading and preparing a data set for analysis, performing visualizations on the data, and running machine learning to create predictions using the data as training.

The main presentation link:
https://docs.google.com/presentation/d/1uuhbbsznmn6M7C5RE82NgKSaRooEmI_GcBou7C1IqnI/edit?usp=sharing
The Github used for R:
https://github.com/humbleguidant/RWorkshop/blob/master/RExercise.R
The Github used for Tensorflow:
https://github.com/jackrbhumphrey/TensorFlowInstallation/

R Programming Language PowerPoint Presentation.

Speakers Biography:
Daniel Rozek is a BCIS 5th-year student working part-time for the NSERC GPerf2 project.  He is interested in SQL, Databases and creating apps with Java and XML.
Jesse Ayers is a fourth-year BCIS student working as a part-time research assistant for the NSERC GPerf2 project. He has a great interest in software development and enjoys adding new technologies to his toolset to complete a project. With what little free time he has, he enjoys game development as a hobby.
Jack Humphrey is a third-year BCIS Student working as a Research Student for the NSERC GPerf2 project. Working in an industry that focuses on lifelong learning, he enjoys working on personal projects in his spare time and has recently directed his focus toward Machine Learning and Data Visualization, where he hopes to find new and intuitive ways to display information.
Aubrey Nickerson is a BCIS student working part-time as a research assistant for the NSERC GPerf2 project. He is studying in the Software Development option and enjoys creating databases, web design, and programming data structures. He is currently investigating machine learning.
Chris Mazur is a BCIS student working part-time as a research assistant for the NSERC GPerf2 project. He enjoys project management and algorithms and is investigating machine learning.
Helder Necker is a 2nd-year student and an NSERC GPERF2 research assistant, who is interested in Software Development, Artificial Intelligence and Data Analysis.

For further information please contact: Youry Khmelevsky (email: youry at ieee.org)
Refreshments and Pizza will be provided