Toronto Machine Learning Society (TMLS) 6th Annual Conference & Expo 2022

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Toronto Machine Learning Society (TMLS) 6th Annual Conference & Expo 2022

A unique experience to upskill and learn from industry and academics in our community.

When and where

Date and time

Location

The Carlu 444 Yonge St Toronto, ON M5B 2H4 Canada

Map and directions

How to get there

Refund Policy

Refunds up to 30 days before event

About this event

Despite the vast opportunities that lie within our data, there are explicit challenges, both technical & strategic.

Over 4 days speakers will address common hurdles to AI adoption in Canada through workshops and real case studies (behind the curtain). Come learn and celebrate with us!

You're invited to join us at #TMLS2022

Speakers include Senior Leaders, Researchers from Vector, CIFAR, Google, Apple, LinkedIn, HuggingFace, Facebook AI and more

Hands-on Workshops Include

✅ Beyond the Basics: Data Visualization in Python

✅ Efficient GPU Serving System For Transformer Models

✅ Graph ML: A Detailed workshop

✅ Delivering Intelligent Applications on Kubernetes

And more to come!

Toronto Machine Learning Society (TMLS) 6th Annual Conference & Expo 2022 image

Key Dates:

  • Nov. 22nd - Virtual workshop
  • Nov. 28th - In-person workshop
  • Nov. 29th - In-person talks, networking and parties
  • Nov. 30th - In-person talks & Career / Demo Fair

Each ticket includes:

  • Lunch and continental breakfast is included
  • Tracks: Business Strategy, Case Studies, Technical, Research, MLOps
  • Talks for beginners/intermediate & advanced
  • Network and connect through our event app
  • Q+A with speakers
  • Channels to share your work with the community
  • Hands-on Workshops

Top Industries Served:

  • Technology & Service
  • Computer Software
  • Banking & Financial Services
  • Insurance
  • Hospital & Health Care
  • Automotive
  • Telecommunications
  • Environmental Services
  • Food & Beverages
  • Marketing & Advertising

The TMLS initiative is dedicated to helping promote the development of AI/ML effectively, and responsibly across all Industries. As well, to help data practitioners, researchers and students fast-track their learning process and develop rewarding careers in the field of ML and AI.

Why should I attend the Toronto Machine Learning Society (TMLS) 2022 Annual Conference & Expo:

Developments in the field are happening fast: For practitioners, it's important to stay on top of the latest advances; for business leaders, the implementation of new technology brings specific challenges.

The goal of TMLS is to empower data practitioners, academics, engineers, and business leaders with direct contact to the people that matter most, and the practical information to help advance your projects. For data practitioners, you'll hear how to cut through the noise and find innovative solutions to technical challenges, learning from workshops, case studies, and P2P interactions. Business leaders will learn from the experience of those who have successfully implemented ML/AI and actively manage data teams.

Seminar series content will be practical, non-sponsored, and tailored to our ML ecosystem. TMLS is not a sales pitch - it's a connection to a deep community that is committed to advancing ML/AI and to create and deliver value and exciting careers for Businesses and Individuals.

We're committed to helping you get the most out of the TMLS.

Joining together under one roof will be:

  • Machine Learning/deep learning PhDs and researchers
  • C-level business leaders
  • Industry experts
  • Data Engineers, Machine Learning Engineers
  • Enterprise innovation labs seeking to grow their teams
  • Community and university machine learning groups

Visit: www.torontomachinelearning.com

Steering Committee & Team

Who Attends

FAQs

Q: This a virtual or an in-person conference

A portion is virtual and a portion in person (The full conference will not be completely hybrid)

  • Nov. 22nd - Virtual workshop
  • Nov. 28th - In-person workshop
  • Nov. 29th - In-person talks, networking and parties
  • Nov. 30th - In-person talks & Career / Demo Fair

Q: What is your in-person conference policy:

We’re aware that everyone’s comfort levels, and risk tolerance can vary. We are working to support every attendee’s level of comfort with regard to interactions/socializing. That will be indicated through Green/Yellow/Red badge indicators.

We also take very seriously all Safety precautions and follow local health and safety guidelines in accordance with City of Toronto, and The Carlu.

If you’re unsure or have personal requirements- message us! We’re happy to work with you to provide a safe and enjoyable experience!

Q: Which sessions are going to be recorded? When will the recordings be available and do I have access to them?

Most sessions will be recorded during the event (provided speaker permissions) and will be made available to attendees approximately 2-4 weeks after the event and be available for 12 months after release.

Q: Are there ID or minimum age requirements to enter the event? There is not. Everyone is welcome.

Q: How can I contact the organizer with any questions? Please email info@torontomachinelearning.com

Q: What's the refund policy? Tickets are refundable up to 30 days before the event.

Q: Who will attend? The event will have three tracks: One for Business, one for Advanced Practitioners/Researchers, and one for applied use-cases (Focusing on various Industries). Business Executives, Ph.D. Researchers, Engineers, and Practitioners ranging from Beginner to Advanced. See Attendee Demographics and a list of the Attendee Titles from our past event here.

Q: Can I speak at the event? Yes, you can submit an abstract here. The deadline to submit a talk is Sept 29th, however, we will continue to review submissions.

*Content is non-commercial and speaking spots cannot be purchased.

Q: Will you give out the attendee list? No, we do our best to ensure attendees are not inundated with messages, We allow attendees to stay in contact through our slack channel and follow-up monthly socials.

Q: Can my company have a display? Yes, there will be spaces for company displays. You can inquire at faraz@torontomachinelearning.com.

If you're unemployed, or in a difficult financial situation, but would stand to benefit from this event, please email info@torontomachinelearning.com and we can help you out !

Toronto Machine Learning Society (TMLS) 6th Annual Conference & Expo 2022 image
From $304.22