Toronto Machine Learning Series (TMLS) Courses

Artificial Intelligence and Digital Pathology: Making the Most of Limited Annotated Data

Explore semi-supervised and self-supervised approaches for efficient use of limited medical imaging datasets in AI, focusing on digital pathology applications.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

Transforming the Retail Industry with Transformers

Explore how transformers and language models revolutionize retail data processing, overcoming challenges in deployment and automation for improved business outcomes.

• YouTube
• 40 minutes
• Self-Paced
• Free Video

Scaling and Evolving the Machine Learning Platform at DoorDash

Explore DoorDash's journey in scaling their ML platform, focusing on prediction services, optimizations, and lessons learned for exponential growth in online ML prediction volume.

• YouTube
• 31 minutes
• Self-Paced
• Free Video

The Framework for Great ML Products

Discover a framework for aligning ML projects with business goals, bridging the gap between data scientists and stakeholders.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

The Application of Mobile Location Data for Vending Machine Site Selection and Revenue Optimization

Explore innovative use of mobility data to optimize vending machine placement, enhancing ROI through strategic location analysis and foot traffic insights.

• YouTube
• 35 minutes
• Self-Paced
• Free Video

The Missing Piece of MLOps: Observability in Machine Learning Applications

Explore ML observability's role in MLOps, learn to prepare for it, and discover how it showcases business value and recognizes data scientists' work.

• YouTube
• 1 hour 2 minutes
• Self-Paced
• Free Video

Managing AI and Associated Risks in a Regulatory Environment

Explore AI's evolution, regulatory trends, and risk management practices in high-stakes industries with expert insights on navigating the complex AI landscape.

• YouTube
• 27 minutes
• Self-Paced
• Free Video

Sensitivity and Interpretability of AI Models in Regulated Industries

Explore sensitivity analysis for AI model interpretability in regulated industries. Learn design and implementation approaches using case studies from healthcare and human activity data.

• YouTube
• 22 minutes
• Self-Paced
• Free Video

From Silo to Collaboration - Building Tooling to Support Distributed ML Teams at Twitch

Explore Twitch's ML team structure, challenges, and solutions for distributed collaboration. Learn about feature stores, orchestration systems, and fostering a collaborative ML culture.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

Navigating the Tradeoff Between Privacy and Fairness in Machine Learning

Explore the intersection of privacy and fairness in ML, addressing challenges and research-based solutions for regulated industries.

• YouTube
• 33 minutes
• Self-Paced
• Free Video

A Guide to Putting Together a Continuous ML Stack

Implement continuous ML training by automating pipelines, detecting performance issues, and triggering model updates with fresh data for improved MLOps maturity.

• YouTube
• 55 minutes
• Self-Paced
• Free Video

Outracing Champion Gran Turismo Drivers With Deep Reinforcement Learning

Explore deep reinforcement learning techniques used to train AI agents that outperform world-class e-sports drivers in Gran Turismo racing simulations.

• YouTube
• 37 minutes
• Self-Paced
• Free Video

The Risks of Excluding the Disengaged From Your Dataset

Explore the importance of inclusive datasets in machine learning for accurate predictions and reliable insights across various domains.

• YouTube
• 38 minutes
• Self-Paced
• Free Video

An Introduction to Drift Detection

Explore drift detection in machine learning, covering types, detection methods, and practical applications using Alibi Detect. Gain hands-on experience with real-world examples and state-of-the-art techniques.

• YouTube
• 1 hour 29 minutes
• Self-Paced
• Free Video

Testing HR Systems for Bias and Fairness in AI

Detect and prevent bias in AI HR systems through real-world lessons and practical techniques for fairness testing and risk mitigation.

• YouTube
• 36 minutes
• Self-Paced
• Free Video