6th Annual Toronto Machine Learning Summit 2022 Conference and Expo
Details
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:
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
✅ Graph Neural Network Modeling in Drug Discovery using PyTorch with
- Dr. Nasim Abdollahi, Postdoctoral Fellow, ML Researcher, University of Toronto, & Dr. Farnoosh Khodakarami, Computer Scientist and ML Researcher, Cyclica
✅ Graph ML – The Next Level of Machine Learning with
- Jörg Schad , CTO, ArangoDB
✅ Beyond the Basics: Data Visualization in Python with
- Stefanie Molin, Software Engineer / Data Scientist/ Author, Bloomberg LP
✅ Distributed Training with PyTorch with
- Shagun Sodhani, Research Engineer, Meta AI
✅ NLP for Healthcare: Challenges with Processing and De-identifying Clinical Notes with
- Chloé Pou-Prom, Data Scientist, Vaakesan Sundrelingam, Data Scientist, Unity Health Toronto
✅ 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, Benjamin Ye, Research Scientists, Georgian
✅ Train Your Models Faster by Learning How to Profile and Apply System-level Optimizations with
- Akbar Nurlybayev, VP of Engineering, CentML
✅ Demystifying De-Identification with
- Patricia Thaine, CEO Private AI
✅ Open Source Intelligent Application Delivery on Kubernetes with
- Arthur Vitui, Senior Data Scientiest & Solution Architect Specialist, Todd Wilson Chief Strategist, Red Hat
✅ Introduction to NLP & a Step by Step Implementation of a Real world Use Case from TELUS with
- Mahmudul Hasan, Lead Data Scientist, TELUS
✅ Iterating on NLP models from R&D to Production with
- Denys Linkov, ML Lead, Voiceflow