Call for Presentations:
Toronto Machine Learning Summit & Expo 2019
TMLS 2019 will be from November 20th-22nd, 2019. The call for presentation is open until August 1st, 2019.
Call for Presenters (Open June 5th- closes August 1st)
Wed-NOV 20th 9am–9pm ( bonus workshop day- optional)
Thurs-Nov 21st 9am–5pm
Friday-Nov 22nd 9am–5pm
Attendance 1,800 people
Location, The Carlu Downtown Toronto.
*Official Media Partner Towards Data Science, which will host the video content to global audience of 10MM+
#TMLS2019 is proudly partnered with Towards Data Science (TDS), one of the largest global Data Science websites and sources of written content (10MM monthly viewers). TMLS speakers will have the option to broadcast their talks on the Towards Data Science page, on a dedicated video tab, as well as include written content, accompanying their talk for TDS readers. (optional)
Suggested Themes and Topics (not limited to)
Theme: Awareness, exploration and research:
Getting educated: Exploring where the opportunities lay
Creating a data strategy
Theme: Building a case for AI investment
Making a R.O.I case
Implementing AI Technology
Change Management and new mindsets
Fitting AI into the business work-flow
Theme: Deep Learning and NLP
Applied Technical Talks:
Theme: Strategy: matching problem with solution
Theme: Dataset preparation and preprocessing
Accessing data quality : When to start, when to get more data?
Theme: Data Splitting/Modeling
Overcoming data privacy and security issues
Small data problems
Theme: ML in production
ML and continuous delivery / devops
Deploying ML on premises vs in the cloud
Cost management for ML in the cloud
Integrating ML models with other systems
Theme: Deep Learning
Theme: Neuroscience and Cognitive Science
Theme: Probabilistic Methods
Theme: Reinforcement Learning and Planning
Tips to a successful submission:
Be authentic. Our committee looks for original ideas in real-world scenarios with relevant examples.
Include as much detail about the presentation as possible.
Keep proposals free of marketing or sales pitches.
Make sure to describe clear value for attendees.
If you are not the speaker, provide the contact information of the person you’re suggesting.
Limit the scope: in 15-30 minutes, you won’t be able to cover ‘everything’. Pick a useful aspect, a particular technique etc.
If your talk is technical make sure to demonstrate practical teachings and takeaways
If your presentation is by, including the participation of a woman, person of colour, or underrepresented group please include that in the notes, as we strive include diversity in our lineup.
All submissions will go through a review process by our Steering Committee.