Machine learning : an introduction with Python
6 - 27 May 2021
8 hours workshop given by Lorne Schell, Mattie Tesfaldet et Edith Viau
On may 6, 13, 20, 27th 2021
From 5 pm to 7 pm (online)
Rate : 50$
Membership (year) : 40$ student || 50$ regular
With artificial intelligence, we can witness the development of cognition. In this introductory to Machine Learning workshop, participants will be able to understand an overview of Artificial Intelligence Techniques used in the field today. Artificial Intelligence techniques or Machine Learning deploys a set of computer algorithms to create computers that perform autonomously from example data or real-time experiences. These methods are relevant to the arts as creative tools, sociological artifacts, and psychological case studies.
The course will be a mix of hands-on experimentation and AI theory discussions. By the end of the course, participants will understand AI applications and be able to implement one of their choice. The objective of the course is to familiarize participants with AI concepts, vocabulary, and algorithms through concrete examples. The instructor will also engage participants in a networking session to send participants well on their way into the creative AI field.
Prerequisite : Have beginner-to-intermediate level skills in programming | Be at least familiar with Python3 | Be familiar with running commands on the terminal
Edith Viau (she/her) is an artist interested in systems as a medium. With an academic background in mathematics and finance, she spends her creative time exploring how to systematize creative processes. Founder of ARTificial MTL, she was a participant in the 2020 MUTEK AI Art Lab held in Montreal. She is curious about how artistics endeavours can help us make sense of algorithms used in artificial intelligence.
Lorne Schell Lorne Schell (he/him) is an Applied Research Scientist in Machine Learning with 10 years experience across industry focused in embedded speech understanding for intelligent computer assistants, image analysis for compositional search, and anomaly detection using behaviour recognition. He is particularly interested in the social impact of AI systems in production, and how we can use machines as tools to work for us. In his spare time he tries to get neural networks to make noise; you can checkout his code on github.com/orangetoaster.
Mattie Tesfaldet (they/them) is a computer vision and machine learning researcher, artist, and DJ based in Montréal, Canada. They are pursuing their PhD at McGill University and Mila researching generative models for visual content creation, specifically, looking for novel and interesting ways images and videos can be represented with neural networks. Outside of academia, they like to apply their research with the aim of exploring the intersection of human creativity and artificial intelligence. Particularly, developing new AI-based mediums for communication, expression, and sharing of visual imagery. Recent collaborative works include QT.bot with Lucas LaRochelle at Studio XX and artwork featured at the Human Learning exhibition with Xavier Snelgrove at Centre Culturel Canadien. You can find them on instagram @mattierialgirl.
CONDITIONS OF REGISTRATION
This workshop has a limited number of participants and is reserved in priority to our members. If you are not already a member, we strongly encourage you to join our community and benefit from exclusive advantages by becoming a member before making your reservation.
If you have any questions regarding your reservations and the workshop, please contact firstname.lastname@example.org.
Refund and Cancellation
All workshop registrations are final and no refunds are possible. Eastern Bloc reserves the right to cancel the workshop if the minimum number of participants is not reached. In this case only, the training will be refunded.
In case this workshop was originaly scheduled in person and can not take place in the context of the pandemic, it will be adapted to an online format without refund.
This workshop, subsidized by Emploi-Québec, is offered in priority to permanent residents and Canadian citizens. If you are not in these categories, please write to email@example.com before your reservation.
If you are an employee of a company with a payroll of $2M or more and this training will be paid for by your employer because you will be taking it as part of your job, you will have to pay the non-subsidized cost of the training. Please contact firstname.lastname@example.org to find out how to finalize your registration.