Machine Learning and Neural Networks with R and Tensorflow Workshop

#Machine #Learning #Neural #Networks #R #Tensorflow #Workshop
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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.



  Date and Time

  Location

  Hosts

  Registration



  • Date: 08 Nov 2019
  • Time: 02:00 PM to 05:00 PM
  • All times are (GMT-08:00) America/Vancouver
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  • 1000 KLO Rd.
  • Kelowna, British Columbia
  • Canada V1Y 4X8
  • Building: E
  • Room Number: 103
  • Click here for Map

  • Contact Event Host
  • Co-sponsored by IEEE Okanagan SB
  • Starts 06 November 2019 04:35 PM
  • Ends 08 November 2019 02:00 PM
  • All times are (GMT-08:00) America/Vancouver
  • No Admission Charge


  Speakers

Jack Humphrey of Okanagan College

Topic:

Machine Learning and Neural Networks with R and Tensorflow Workshop

Biography:

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.

Email:

Address:Kelowna, Canada, V1Y 4XY

Chris Mazur of Okanagan College

Topic:

Machine Learning and Neural Networks with R and Tensorflow Workshop

Biography:

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.

 

Email:

Address:Kelowna, British Columbia, Canada, V1Y 4X8