Using Data to Solve Problems: An Introduction to Artificial Intelligence and Machine Learning for Beginners
Artificial intelligence (AI) and machine learning are all around us – from Siri on your iPhone to Google Map suggestions, to recommendations for purchases during your Amazon check-out. While many of us may think AI and machine learning mean more robots and self-driving cars, at a fundamental level, they are about data – and ways to make meaning of data.
In this workshop, we’ll use a hands-on project based approach to learn how to put data to use for us in our everyday lives. During the session, you’ll learn the following:
- An introduction to the history of artificial intelligence and machine learning, what they mean and why it matters
- An introduction to data and strategies for collection, preparation, manipulation and analysis of data
- An introduction to machine learning models and predictive data
- Build your very own machine learning model to evaluate data that’s interesting to you
- What resources are available if you’d like to continue learning at home (and we think you will) and career opportunities available in the fields of AI and machine learning
This workshop has been designed for absolute beginners. If you know absolutely nothing about coding, computer programming or data science, you’ve come to the right place! Our only expectation is that you know how to open up a web browser and do something online like checking your email. (But if you’re reading this, we’re pretty sure you know how to do that.)
Should you fail to withdraw 48+ hours in advance, thereby preventing your colleagues on the waitlist from filling in your spot, your library account will be charged $10 per missed workshop. Please note, it is your responsibility to sign next to your name on the attendance sheet for each workshop session. A blank signature spot will result in a penalty charge.
Location: Bissel Building, 140 St. George Street, Room 224/225
Instructor: Vik Pant, PhD Student
- Saturday, October 27, 2018
- 1:30pm - 5:30pm
- Inforum Library
- St. George (Downtown) Campus