Mount Royal Presents: Artificial Intelligence and Machine Learning

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Mount Royal University

4825 Mount Royal Gate Southwest

Ideas Lounge, First Floor, Riddell Library

Calgary, AB T3E 6K6

Canada

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Refunds up to 1 day before event

Eventbrite's fee is nonrefundable.

Event description

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Machine Learning (ML), Artificial Intelligence (AI), and Big Data Analytics are an important topic for talent in Calgary and Alberta. Knowledge of these three subjects is critical for individuals across disciplines to understand because of its useful applications in business and its societal impacts. However, there is little existing work on teaching AI + ML to computing and non-computing students. The Mount Royal AI + ML workshop will allow students, alumni, faculty, and industry professionals from various STEM disciplines (Chemistry, Biology, Physics, Geology, Geography, Computing, etc.) to get hands-on experience with AI + ML and to apply them in their fields. The workshop is also open to business and social innovation students with foundational technical knowledge who are keen to gain hands-on experience.

A 2018 World Economic Forum report projected that by 2022, 73% of businesses will adopt machine learning technology into their business. The Mount Royal AI + ML workshop is dedicated to advancing the understanding and implementation of AI + Machine Learning by bringing together leading experts from academia and industry.

The Mount Royal AI + ML workshop will:

  1. Enhance women’s participation in STEM & Promote women’s leadership participation

  2. Complement student post-secondary and post-graduate education experience

Prerequisites: Participants are expected to be familiar with programming. The workshops will be in Python and R languages and participants should be able to follow the instructions.

Laptop software: Participants are expected to bring their own laptop. Laptops can also be borrowed from Mount Royal Library. If you need a laptop, please contact the event organizers before the event.

Workshop Schedule :

DAY 1 SEPTEMBER 27

8:30 AM - 9:00 AM Registration

9:00 AM - 10:00 AM Keynote, Susan Ibach

10:15 AM - 12:00 PM Introduction to machine learning and data science

Instructor: Usman Alim, University of Calgary

Using the Jupyter notebook environment, this session will introduce participants to the Python Data Science ecosystem. This includes libraries for data wrangling (numpy and pandas), visualization (matplotlib and plotly) and machine learning (scikit-learn). The material will be presented in a tutorial style using example datasets so that participants can follow along on their own laptops.Software requirements: Jupyter notebook environment. Participants can use Google Colab.

1:30 PM - 3:00 PM Regression

Instructor: Jim Stallard, University of Calgary

R Studio is an integral tool of the Data Science environment. This session will be an introduction to R Studio as a ‘lab book’ for data-science themed work, and will specifically include a review of structured learning and the testing of various machine learning models. This will be an interactive session where participants work with rich data sets on their own laptops.Software requirements: Participants are strongly recommended to dowlnoad R Studio to their laptops. https://www.rstudio.com/products/rstudio/download/

3:15 PM - 5:00 PM Classification and Clustering

Instructor: Sepideh Afkhami, University of Calgary, IEEE WIE

This session will provide a general overview of supervised (classification) vs unsupervised (clustering) learning. This will be an interactive session where participants will apply clustering and classification techniques on a sample data set. By the end of this session, participants will be able to tell which technique fits a particular problem and how to implement a python script to approach the problem.Software requirements: Python, Jupyter notebook environment. Participants can use Google Colab.

DAY 2 SEPTEMBER 28

9:00 AM - 10:00 AM Keynote, Niaz Tadayyon

10:00 AM - 11:00 AM Social Impact of AI

Speaker: James Stauch, Mount Royal University

The careful combination of machine super-intelligence with human learning, as we are seeing in many social purpose uses and fields already, has significant potential to help us solve even our most complex social and environmental challenges. Peppered with many real-world examples of existing and in-development AI and socially-purposeful applications, this session will explore the potential impacts of AI on societal transformation, arguing that the development of AI must not merely be ethical, but also inclusive and common-good focused. An 'all hands on deck' approach will be required. given the existential, public policy and social implications involved

11:15 AM - 12:30 PM Neural Networks

Instructor: Yasaman Amannejad, Mount Royal University

This session will introduce the foundations of neural networks and will allow the audience to understand the key parameters in a neural network’s architecture. During this session, students will build, train, and test a neural network using python.Software requirements: Python, Jupyter notebook environment. Participants can use Google Colab.

1:30 PM - 3:00 PM Deep learning frameworks & libraries

Instructor: Matthew Greenberg

In this session, I will introduce Tensorflow, currently the most popular library for computations involving neural networks. I will explain the essential ideas underlying tensorflow and its most important APIs. We will interact with these APIs both by hand as well as through the higher level Keras front-end. My hope is that the audience acquires sufficient skill to experiment independently with simple feedforward and convolutional neural networks in Tensorflow.Software requirements: Python, Numpy, Tensorflow 2.0, Keras

3:15 PM - 5:00 PM Text processing/image processing

Instructor: Nikoo Sabzevar, ATB

This workshop will cover image processing with python. More specifically, it will cover: what is an image?, What is digital image processing?, and the applications of image processing, such as Face Recognition & Object Detection. Software requirements: Python, OpenCV, Tensorflow, Keras

EVENT IS A CITYWIDE INITIATIVE - TICKETS ARE OPEN TO ALL INDUSTRY AND ACADEMIC INSTITUTIONS

Thank you to the event sponsors:

The Mount Royal AI + ML Workshop is proudly hosted in collaboration by the Department of Mathematics and Computing and the Institute for Innovation and Entrepreneurship at Mount Royal University. For questions regarding the workshop please contact the following individuals:

Yasaman Amannejad, Assistant Professor, Department of Mathematics and Computing - yamannejad@mtroyal.ca

Jenn MacDonald, Talent & Program Development Manager, Institute for Innovation and Entrepreneurship - jemacdonald@mtroyal.ca

Date and Time

Location

Mount Royal University

4825 Mount Royal Gate Southwest

Ideas Lounge, First Floor, Riddell Library

Calgary, AB T3E 6K6

Canada

View Map

Refund Policy

Refunds up to 1 day before event

Eventbrite's fee is nonrefundable.

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