Toronto Machine Learning Series (TMLS) Courses

A Cookbook for Deep Continuous-Time Predictive Models

Explore deep continuous-time predictive models for irregularly-sampled time series, from feedforward approaches to latent-variable stochastic differential equations.

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

Banorte's AI Journey - Yielding 3 Billion USD Revenue in 5 Years

Explore Banorte's AI transformation journey, yielding $3 billion in revenue over 5 years. Learn strategies for implementing high-ROI AI projects and avoiding transformational fatigue.

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

Designing a Real-Time Model to Prevent Fake Account Sign-Up

Develop a real-time machine learning service to prevent fake account sign-ups. Learn about statistical challenges, computational scaling, and deployment pitfalls in low-latency ML inference.

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

Serverless for Machine Learning Pipelines

Explore serverless architecture for ML/DL deployment, utilizing AWS services to organize scalable and affordable deep learning workflows for efficient model training and operationalization.

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

Simplifying AI DevOps with Model Registry

Discover strategies to streamline ML model deployment, ensure reproducibility, and enhance governance using Model Registry for efficient AI DevOps.

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

Machine Learning for Trust and Safety at Pinterest

Explore Pinterest's ML solutions for Trust and Safety, including DNN, CNN, and GCN techniques. Learn about challenges, design principles, and processes for developing and deploying effective content moderation systems.

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

Principles of Good Machine Learning Systems Design

Learn key principles for designing effective machine learning systems, from project scoping to deployment and maintenance, with insights on team structuring and the ML production ecosystem.

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

Reinforcement Learning via Stochastic Control

Explore reinforcement learning in continuous time and space, examining stochastic control theory's role and recent developments in this emerging field.

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

How to Automate Machine Learning with GitHub Actions

Automate machine learning workflows using GitHub Actions to speed up development cycles and streamline model deployment.

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

Quantum-Assisted Machine Learning with Near-Term Quantum Devices

Explore quantum-assisted machine learning applications for near-term devices, focusing on generative models in unsupervised and semi-supervised learning. Discover recent experimental implementations.

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

Real-Time Insights into ML Model Training with Amazon SageMaker Debugger

Gain deep insights into ML model training, identify issues automatically, and optimize your workflow using Amazon SageMaker Debugger's real-time monitoring capabilities.

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

Metaflow: Supercharging Data Scientist Productivity

Discover how Netflix empowers data scientists with Metaflow, an open-source ML framework. Learn design principles for enhancing productivity and leveraging cloud strengths in machine learning workflows.

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

Raising the Quality of Online Conversations with Machine Learning

Explore how The Washington Post uses machine learning to moderate online comments, enhancing digital discourse quality and addressing technical challenges.

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

Opportunities at the Intersection of Financial Policy and Machine Learning

Explore ML's role in finance, from COVID-19 impacts to lending applications, and its potential for promoting financial stability and sustainable business models.

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

Financial Client Churn Detection Using Computer Vision

Detect financial client churn using computer vision techniques. Convert historical client data into images and apply deep neural networks for predictive analysis.

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