Toronto Machine Learning Series (TMLS) Courses

How Finnish Public Broadcaster Yle is Beating Netflix with AI-Driven Media Experiences

Explore how AI is shaping media experiences and learn strategies for implementing data-driven solutions in organizations to stay competitive in the streaming industry.

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

How Your ML Model Will Fail - And How to Prepare For It

Explore ML model failure modes, analyze production performance, and set up pragmatic monitoring strategies to prevent degradation and breakage in production.

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

Financial Time Series Modelling Using Generative Models

Explore data-driven approaches for financial time series modelling, performance metrics, and generative modelling techniques for market simulation.

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

Algorithmic Decision Making - Exploring Practical Approaches to Liability, Fairness, and Explainability

Explore practical approaches to liability, fairness, and explainability in algorithmic decision-making with industry experts.

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

Cardiometabolic Disease Trends in Canada - Data Analysis Workshop

Explore cardiometabolic disease trends in Canada through Loblaw's advanced analytics, examining pharmaceutical data and health-geospatial insights for diabetes and cardiovascular diseases.

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

Covid-19 Impact on AI in Banking

Explore how AI in banking adapted to the radical changes brought by the COVID-19 pandemic, including economic shifts and new work environments.

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

Political Economy of Future Transportation and Equity

Explore the intersection of innovation, transportation, public engagement, and equity in future mobility systems.

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

Race Data as an Anti-Racism Tool

Explore race as a concept, tool, and structure, examining its historical context and impact on data practices to build equity and dismantle systemic racism in technology.

• YouTube
• 1 hour 3 minutes
• Self-Paced
• Free Video

Applied Machine Learning in Healthcare - Practical and Legal Considerations

Explore practical and legal aspects of applying machine learning in healthcare, including data challenges, algorithm development, and ethical considerations.

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

Predicting and Preventing Customer Technical Issues Using Machine Learning and RPA

Predict and proactively resolve customer technical issues using machine learning and robotic process automation, improving service efficiency and customer satisfaction in telecom.

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

Overcoming the Cold Start Problem: How to Make New Tasks Tractable

Explore strategies to overcome the cold start problem in AI, focusing on data aggregation and leveraging pre-trained models for efficient scaling of machine learning applications.

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

Metrics That Matter: Communicating ML Value to Stakeholders in Insurance

Explore creative strategies to gain stakeholder buy-in for ML projects in insurance, focusing on metrics that matter beyond traditional ROC scores.

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

Assessing China's AI Capabilities - Overview and Deep Dive into Neural Networks Research

Explore China's AI ecosystem and delve into its neural network research capabilities, gaining insights into the country's technological advancements.

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

The Algorithm is Not Enough: UX Meets Data Science

Explore the synergy between UX and data science, learning how to integrate user-centric design with data-driven insights for more effective product development.

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

A.I. in the Multiverse - Measuring ROI When A/B Tests Are Not Possible

Explore deep learning techniques for assessing AI's revenue impact in e-commerce without A/B testing. Learn to measure and monitor ML pipeline performance in various business settings.

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