Nikhil Verma, AI Research Intern, LG Toronto AI Research Lab

Sabina Stanescu - Your First ML Model In Production: Examples & Considerations

TMLS2019 - Satya Krishna Gorti

TMLS2019 - Jaya Kawale

Parnian Afshar - Capsule Network-based Framework for Identification of COVID cases from X-ray Images

Dr. Neeraj Kashyap - Machine Learning

TMLS2019 - Laila Paszti

Kenny Daniel - DevOps for ML and other Half-Truths: Processes and Tools for the ML Lifecycle

Tina White - Decentralized exposure alert protocols for protecting communities from COVID-19

Vinnie Saini - RPA and AI disrupting the Financial Industry

Stephen Mackinnon - PolypharmDB, Quickly Identifies Repurposed Drug Candidates for COVID-19

Machine Learning Simplified from Ideation to Deployment in Minutes with Automated Machine

Dmitry Baev - Deploying Distributed AI and Machine Learning in Financial Services

Sheldon Fernandez - COVID-Net for COVID detection and risk stratification via chest radiography

TMLS - 2019 Sheldon & Michael

Don Ward - Edge AI - The Next Frontier

Black-Box and Glass-Box Explanation in Machine Learning

Saranyan - MLOps that works: How we built ML pipelines for deploying models for autonomous factories

Srikar Kovvali - Workshop: Post-COVID Supply Chain MLOps Model Re-Training

Alexander Wong - Workshop: How a human-machine collaboration approach to deep learning development

Building a MovieLens Recommender System

Autonomous Vehicles-The Next Step Forward

TMLS2020 Instructional Video

Hamza Tahir - Why ML in production is STILL broken?

Lina Weichbrodt - How To Monitor Machine Learning Stacks