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Toronto Machine Learning 'Micro-Summit' Series ( TMLS)

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RBC WaterPark Place

88 Queens Quay W

RBC Auditorium

Toronto, ON M5J 0B8


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Following up on the sold-out November TMLS 2017 summit, the TMLS team has organized an evening "micro-summit" series.

We hope you can join us!

Our goal is to reunite our community of Practitioners, Researchers and Business Leaders to enjoy quality seminar talks, drinks, food and networking. Only 25$ for all access.

Tickets will be limited, and include access to all speakers, across 3 different tracks;

- Case Studies and Applied ML
- ML in Business
- Advanced Technical ML

Speakers include;

  • Inmar Givoni -P.h.D Machine Learning at U of T, Autonomy Engineering Manager at Uber ATG

  • Nima Mohajerin, PhD in Robotics and Deep Learning, University of Waterloo

  • Hassan Bhatti, Venture Manager, Quantum Machine Learning, Creative Destruction Lab

  • Jamie Ross and Poorya Ferdowsi, PhD, MSc, MMA, Data Scientists at Bristol Gate Capital

  • Megan Anderson Director at Integrate AI



Tickets will be limited, please reserve today!

TMLS is an initiative to accelerate the growth of ML/AI in Toronto. We have gathered the top insights, expertise from our community of over 6,000 Toronto-based professionals to create a bi-monthly Toronto Machine Learning Series (TMLS).

The goal is to showcase Canada’s research accomplishments while offering innovative solutions to real business problems faced by ML and AI practitioners.

What to expect at TMLS;

Business Leaders, including C-level executives and non-tech leaders, will explore immediate opportunities, and define clear next steps for building their business advantage around their data.

Practitioners will dissect technical approaches, case studies, tools, and techniques to explore challenges within Natural Language Processing, Neural Nets, Reinforcement Learning, Generative Adversarial Networks (GANs), Evolution Strategies, AutoML and more.

Researchers will have the opportunity to share with their peer's cutting-edge advancements in the field.

Machine Learning in Canada; Machine learning, deep learning, and AI are some of the fastest growing and most exciting areas for knowledge workers - simultaneously, they are the key to untapped revenue sources and strategic insights for businesses. Firms are using AI to create unprecedented business advantages that are reshaping the global - but more specifically Canadian - economic landscape. Practitioners are leveraging and expanding their expertise to become high-impact global leaders.

Despite the vast opportunities that lie within our data, there are also explicit challenges to revealing their potential. Furthermore, transitioning to a career in practising AL/ML, or managing ML and AI-driven businesses, are less than straightforward.

Why should I attend the TMLS?

Developments in the field are happening fast - for practitioners, it's important to stay on top of the latest advances. Business leaders know that implementation of new technology brings specific challenges.

The goal of TMLS is to empower practitioners and business leaders with direct contact to the people that matter most. For data practitioners, you'll hear how to cut through the noise and find innovative solutions to technical challenges. 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 local 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 Canadian 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

  • Enterprise innovation labs seeking to grow their teams

  • Community and university machine learning groups

TMLS tickets give access to the entire portfolio of:

  • Workshops

  • Real case studies

  • Keynote addresses

  • High-level and granular discussions

  • Ample networking opportunities

  • Tailored post-event gatherings

  • Community follow-ups through a social channel.

This event is not a black tie affair and tickets are priced accordingly - however, space will be limited. Register now.

We ask that you direct any questions, requests to speak, requests for a Sponsorship Prospectus, etc. to

We’re very excited to see you there!

-The TMLS Team

The TMLS community helps promote the development of AI/ML by helping data practitioners fast-track their learning process, and businesses gain direct contact to the people who matter most.

Past Timetables;

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RBC WaterPark Place

88 Queens Quay W

RBC Auditorium

Toronto, ON M5J 0B8


View Map

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