Join us for an unforgettable experience that happens once annually.
For those looking to seriously upskill, grow their teams, explore new career opportunities, and learn from a series of leaders in our community – this is a unique opportunity !
*** All tickets include food, drinks, after-parties, and socials, but also;
over 20 hands-on workshops, exclusive case studies that give you a peak into our local industry, cutting-edge research and technical sessions, and open curative discussion groups so you can expand your network.
Also- join the app to meet and arrange brain dates, & tell your story! We want to hear from you !
Join here to see all sessions, abstracts and FAQ:
http://WWW.TORONTOMACHINELEARNING.COM
OUR WHY: TMLS is a community response addressing the need to unite academic research, industry opportunities & business strategy in an environment that is safe, welcoming and constructive for those working in the fields of ML/AI.
With talks curative by committee, and specifically designed for the growth & development of data practitioners, academics, and ML/AI enthusiasts.
We’ll see you there!
Featured Workshops;
✅ How to Represent Financial Securities in Form of Embeddings Using Graph Machine Learning with
– Bhaskarjit Sarmah, Senior Data Scientist, [BlackRock](https://www.linkedin.com/company/blackrock/)
✅ Graph Neural Network Modeling in Drug Discovery using PyTorch with
– Dr. [Nasim Abdollahi](https://www.linkedin.com/in/ACoAABA-9PYBF4FoQ1sDv6Be9N8gcNFlDdu7rfc), Postdoctoral Fellow, ML Researcher, University of Toronto, & Dr. [Farnoosh Khodakarami](https://www.linkedin.com/in/ACoAAA7ctgMBC_YIA9i5xiC17uLEl1x975mavaE), Computer Scientist and ML Researcher, [Cyclica](https://www.linkedin.com/company/cyclica/)
✅ Graph ML – The Next Level of Machine Learning with
– [Jörg Schad](https://www.linkedin.com/in/ACoAABcCXwUB4f5Ek9Y0wrtnHLIFWCBtbVSsqC0) , CTO, [ArangoDB](https://www.linkedin.com/company/arangodb/)
✅ Beyond the Basics: Data Visualization in Python with
– [Stefanie Molin](https://www.linkedin.com/in/ACoAABRHHSYBuW2NbiqJvt3CIP9ABVje3JInUfM), Software Engineer / Data Scientist/ Author, [Bloomberg LP](https://www.linkedin.com/company/bloomberg-lp/)
✅ Distributed Training with PyTorch with
– Shagun [Sodhani](https://www.linkedin.com/in/ACoAABCbyUoBq5bBo999Zhp6AO0-jgnbX5cziZY), Research Engineer, [Meta AI](https://www.linkedin.com/company/metaai/)
✅ NLP for Healthcare: Challenges with Processing and De-identifying Clinical Notes with
– [Chloé Pou-Prom](https://www.linkedin.com/in/ACoAAAr4RoABNIY6py0fE4KYi598OKA66haD6Ys), Data Scientist, Vaakesan Sundrelingam, Data Scientist, [Unity Health Toronto](https://www.linkedin.com/company/unityhealthtoronto/)
✅ Hands workshop: Introduction to Kubernetes for MLOps with
– Erik Hammel, ML Engineer Rocket Science Development
✅ Time Series Anomaly Detection with Machine Learning with
– [Angeline Yasodhara](https://www.linkedin.com/in/ACoAAA96aFsB4nYeyH6iODt8oRjvRMsIzVjUmoA), Benjamin Ye, Research Scientists, Georgian
✅ Train Your Models Faster by Learning How to Profile and Apply System-level Optimizations with
– [Akbar Nurlybayev](https://www.linkedin.com/in/ACoAAAGnkYEByT0Fe92QPtn6sU8tIBDIcNoLYIY), VP of Engineering, CentML
✅ Demystifying De-Identification with
– [Patricia Thaine](https://www.linkedin.com/in/ACoAAA3LkwYBU6-1loEQiidlsaTRN97yPyBKNo8), CEO Private AI
✅ Open Source Intelligent Application Delivery on Kubernetes with
– Arthur Vitui, Senior Data Scientiest & Solution Architect Specialist, Todd [Wilson](https://www.linkedin.com/in/ACoAAA4uAbMB0CH9ShmMAFcSrGXfDOpywXKswss) Chief Strategist, [Red Hat](https://www.linkedin.com/company/red-hat/)
✅ Introduction to NLP & a Step by Step Implementation of a Real world Use Case from TELUS with
– [Mahmudul Hasan](https://www.linkedin.com/in/ACoAAAFdbzEBq7SQnJm74krXM1OF7RBv9_KDdOM), Lead Data Scientist, [TELUS](https://www.linkedin.com/company/telus/)
✅ Iterating on NLP models from R&D to Production with
– Denys [Linkov](https://www.linkedin.com/in/ACoAABB2hFkBunHn_Z76otBLWoOQOvWU3pGhFkM), ML Lead, Voiceflow