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TMLS (Toronto Machine Learning Series) is a Canadian Machine Learning community comprised of over 6,000 active members across several disciplines, including business leaders, researcher scientists, data practitioners and investors.

The TMLS’ mission is to highlight top Canadian AI research, while exploring the value of AI in Industry. We unite the community and foster growth in the local ecosystem by identifying, exploring and removing existing bottlenecks.  

Come join the 2018 Annual Toronto Machine Learning Summit (TMLS) as we have gathered the top insights, expertise and do's-and-don'ts from our community of over 6,000 local members.

Featuring:

  • 3 DAYS, 3 TRACKS

  • 1 Bonus Day Workshops

  • 70+ SPEAKERS

  • Vector Institute’s Best Poster Award

  • Women in Data Science Evening Event

  • Start-up Job Fair Evening Event


November 20-21st 2018
8:30am-10pm, 8:30am- 9pm,
The Carlu, 444 Yonge St, Toronto, ON M5B 2H4 

 

Topics Covered:

Business Tracks/ Technical Track/ Case Studies Track:

  • Creating an AI Strategy and Roadmap

  • Machine Learning Patent Landscape

  • Ethics & AI: Pursuing Responsible Innovation

  • How to Become a Data Scientist

  • Building your Enterprise AI Strategy

  • Building AI Products

  • Implementing a Governance Model 

  • IT infrastructure and Legacy Systems   

  • Reinforcement Learning

  • Natural Language Processing

  • Convolutional Neural Networks (CNNs)

  • Neural Ordinary Differential Equations

  • Disruptive ML Applications in Insurance Industry

  • ML for Medical Imaging

  • ML for Drug Discovery

  • AI in Financial Services

  • AI in Retail

  • Agile for Data Science Teams

  • GDPR, the California Consumer Privacy Act

  • Women in Data Science

  • Quantum Computing and ML

  • Transfer Learning

  • Scalable Machine Learning for Data Cleaning

  • Generative Adversarial Networks (GANs)

  • K-FAC and Natural Gradients

  • Adversarial Examples

  • And More !

A message from the 2018 Chairman


Thank you to our 2018 Community Sponsors and Exhibitors

 Platinum Sponsor

Platinum Sponsor

 Diversity & Inclusion Sponsor

Diversity & Inclusion Sponsor

 Bronze Sponsor

Bronze Sponsor

 City Partnering Sponsor

City Partnering Sponsor

 Silver Sponsor

Silver Sponsor

 Bronze Sponsor

Bronze Sponsor

 Research Community Sponsor

Research Community Sponsor


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Geordie Rose
Current CEO and founder of Sanctuary.ai. Founder of D-Wave, the world’s first quantum computing company. Founder of Kindred.ai

Anne Martel
Professor, Medical Biophysics, UofT, Senior Scientist at Sunnybrook Research Institute, Toronto. Co-founder & CSO, Pathcore Inc

Philippe Beaudoin
Co-Founder & Senior VP Research at Element AI

Alán Aspuru-Guzik
Professor, Faculty Member, Vector Institute. CIFAR Senior Fellow, 
Canada 150 Research Chair

Pascal Poupart
Professor, David R. Cheriton School of Computer Science, UWaterloo; Research Director, Borealis AI; Faculty Member, Vector Institute and more. 

Nicholas Frosst
Researcher Google Brain,
Neural Network Researcher, Geoffrey Hinton's Team

Tomi Poutanen 
Chief AI Officer (Technology) TD, Co-Founder & Co-Head
Layer 6 AI, Co-Founder & Advisor, Vector Institute

Kerry Liu
Co-Founder & CEO - Rubikloud Technologies

David Duvenaud
Assistant Professor UofT, Founding Member of the Vector Institute

Roger Grosse
Assistant Professor, Computer Science UofT, founding member, Vector Institute

Any many more!

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TMLS Team

  • DAVID sCHARBACH, Director, founder tmls

  • Amir Feizpour, Data Scientist, Scientific Advisor, rbc

  • Tina Aprile, entrepreneur, Organizer tmls

  • April Grace de las Alas, structural coordinator, tmls

  • Diego Cantor, Ph.D, head of presentations TMLS, Founder, CTO, EZRA

  • Sean Robertson, ASSOCIATE, syntegrity

  • Amy Mansell, Organizer tmls, project manager, lighthouse labs

  • MAECY SANTOS, EA TMLS

  • Faraz thambi, maRKETING & PARTNERSHIPS

  • Maria D'Angelo, ph.d, Head of diversity & Inclusion Programs tmls, Data Scientist, delphia

  • Reena Shaw, hEAD OF EDITORIAL CONTENT TMLS, Lead data scientists, agile blockchain

  • Julia Mariglia, MANAGER TMLS NEWSLETTER

 
  • FRANK RUDZICK, 2018 TMLS CHAIRMAN. ASSOCIATE PROFESSOR, UNIVERSITY OF TORONTO, DEPARTMENT OF COMPUTER SCIENCE

 
  • Michael Guerzhoy, Senior Data Scientist, Research, and Training, St. Michael's Hospital, aSSISTANT PROFESSOR Utoronto

  • Laleh Soltan Ghoraie,
    tmls poSTER SESSION CHAIR, Machine Learning Researcher at Borealis AI, Affiliate, Vector Inst. 

  • Devinder Kumar, tmls poSTER SESSION CHAIR, ML PhD Candidate at UWaterloo & Vector Inst. | Lead AI Scientist, NextAI

  • Ali Harakeh,ML PhD Candidate at University of Toronto Institute for Aerospace Studies (UTIAS)

  • Asif Ahmed,Senior Financial Analyst, The Home Depot

  • Laila Paszti, Attorney, AI Software Engineer 

  • Lina Ismail, Managing Partner, thinki3

  • Ajinkya Kulkarni,Director, Artificial Intelligence and Machine Learning, scotiabank

  • Rupam Mahmood,
    AI Research Lead, Kindred.ai

  • Matt McInnis, Data Scientist, Customer Success Unit, Microsoft

  • Susie Pan, Product Lead, RBC Ventures

  • Jeremie Harris, Co-Founder, SharpestMinds

  • Pavan Singh, Director
    Business Intelligence & Analytics, Firmex

  • Asaf Inger,VP Engineering at BenchSci

  • Geoffrey Hunter,
    Data Science Manager at Uberflip

  • Ramy Nassar, Director, Retail innovation lab, Mattel, Inc.

  • Amir massoud Farahmand, Faculty Member at Vector Institute

  • Max Huang, Data Scientist, Cerebri AI

  • Alex Milodowski, Senior Manager, Client Analytics at Aimia Inc

  • Elham Dolatabadi,
    Machine Learning, Data Scientist, RBC

  • Catherine CheN,
    founder & ceo, IG Liaison Strategy & Business Consulting

  • Diederik van Liere,
    Director of Data Science and Engineering, Shopify,

  • Ozge Yeloglu,Chief Data Scientist, Customer Success Unit at Microsoft Canada

 

For Sponsorship availability please email info@torontomachinelearning.com

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Why attend TMLS?

Machine Learning and Artificial Intelligence are unlocking unprecedented business advantage and delivering exciting, rewarding careers. Despite the vast opportunities that lie in our data, there are also explicit challenges to harnessing them effectively.

To address these challenges and to foster the growth of ML/AI in Toronto we have gathered the top insights, expertise and do's-and-don'ts from our community of over 6,000 local members to create 4 parallel tracks over 3 days: for Business Leaders, and Practitioners.

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 Natural Language Processing, Neural Nets, Reinforcement Learning, Generative Adversarial Networks (GANs), Evolution Strategies, AutoML and more. 

The content will be practical, non-sponsored, and tailored to our local eco-system. TMLS is not a sales pitch - It's a connection to a deep community that is committed to advancing ML/AI to deliver value and exciting careers for Canadian Businesses and Individuals


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Attendees

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 Natural Language Processing, Neural Nets, Reinforcement Learning, Generative Adversarial Networks (GANs), Evolution Strategies, AutoML and more. 

 

Attendees from 2017-18 Events

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2018 Attendee Demographics

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2017-2018 Attendee Titles 

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Deep Community

The work we do extends both before and after the Toronto Machine Learning Summit. We bring the community together for:

  1. Toronto Machine Learning Micro-Summit's: practitioner-driven gatherings, speakers share real successes and failures in the world of Machine Learning.

  2. Toronto Deep Learning Seminar (TDLS): for advanced scientists to understand the latest advances

  3. CTO/CIO Breakfasts: for business leaders to explore their challenges in an intimate setting with experienced AI implementers

  4. Machine Learning Transition Programs: placing practitioners and PhD's on co-op projects that translate to full-time employment

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Join the Community List and newsletter

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100+  Past Speakers 

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In the next five years, every company is going to need an AI strategy.
— Tiff Macklem, dean of the Rotman School of Management at the University of Toronto
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FAQ

 

Q: What's the refund policy? 

Tickets are refundable up to 30 days before the event.

Q: Why should I attend the TMLS?

Developments are happening fast - it's important to stay on top.

For businesses leaders, you will have direct contact with the people that matter most; consultants and experts, potential new hires, and potential new clients. For data practitioners, you'll have an opportunity to fast-track your learning process with access to relevant use-cases, and top quality speakers and instructors that you'll make lasting connections with while building your network.

The event is casual and tickets are priced to remove all barriers to entry. Space, however, is limited. 

Q: Who will attend? 

The event will have two tracks: One for Business, one for Practitioners.  Business Executives, PhD researchers, Engineers and Practitioners ranging from Beginner to Advanced (multiple project experience). 

Q: Will you focus on any industries in particular?

Yes, we will have talks that cover Finance, Healthcare, Retail, Transportation and other key industries where applied ML has made an impact. 

Q: I'm not sure artificial intelligence can benefit my business. Is this still relevant? 

Yes, a large component of the business track will be dedicated towards understanding the potential of machine learning and ensuring ROI. You can describe to us your project or problems and we will connect you with researchers and council. There will be many people to assist, on site. No additional charges. 

Q: Can my company have a display? 

Yes, there will be spaces for company displays. You can inquire at info@torontomachinelearning.com.

Q: Will tickets include access to the after-party? 

Yes, attendees will have full access to both night's post event networking social. 

Q: Where and how can I register?

Visit here to reserve your spot. 

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 I speak at the event?

Yes you can submit an abstract here. Deadline to submit a talk is Sept 16th however we will continue to review submissions. 

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

Q: What's the date, time? 

Tuesday November 20th, 9am-10pm (including after-party) and Wednesday November 21st, 9am- 5pm (Relocate to local pub afterwards). We will also have a separate Bonus day dedicated for workshops on the 19th.

Q: Where is the event taking place? 

The event will take place at the historic Carlu at College and Yonge Street, Downtown Toronto; 7th floor, 444 Yonge St, Toronto, ON M5B 2H4. 

Q: Do you have a hotel block or discounts?

We do not have hotel discounts. 

Q: Who can I speak with for questions? 

You can visit here for more information, or email info@torontomachinelearning.com and somebody will be in contact within 24 hours. 

 

TMLS Code of Conduct

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2018 Floorplan

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Current 2018 Sponsors: 

 
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Platinum Sponsor

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Gold Diversity & Inclusion Sponsor

 
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Silver Sponsor and Best Poster Award Sponsor

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Bronze Sponsor

 
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Bronze Sponsor

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Community Sponsor

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Program

 
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Steering Commitee