Toronto Machine Learning Series (TMLS) Courses

Using AI Governance to Safely Scale AI with Speed

Discover strategies for implementing AI governance to scale AI safely and efficiently. Learn to balance innovation with transparency, trust, and control in AI projects and models.

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

A Sneak Preview of Next Generation Machine Learning Hardware

Explore the future of AI processing with dedicated Machine Learning processors, comparing their advantages over traditional GPUs for Deep Learning applications.

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

Assessing Alignment of Climate Disclosures Using NLP for Financial Markets

Explore NLP techniques for assessing climate-related financial disclosures, leveraging TF-IDF, sentence transformers, and multi-label kNN to support decision-making in financial markets.

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

Fully Automated ML Platform Using Kubeflow and Declarative Approach to End-to-End ML Development

Explore FreshBooks' journey to MLOps maturity using Kubeflow pipelines and a declarative framework, addressing challenges and improving ML pipeline reliability from development to production.

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

Scaling Advanced Analytics in the Airline Industry During Crisis

Discover strategies for implementing MLOps across an organization during crisis, with insights from LATAM Airlines' experience and practical tips for success in advanced analytics.

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

Learning Embedded Representation of Stock Correlation Matrix Using Graph Machine Learning

Explore embedded representation of stock correlation matrices using graph machine learning. Learn to analyze non-linear relationships among financial instruments for investment processes and risk management.

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

The Role of Alternative Data in Investing

Explore alternative data's impact on quantitative equity strategies, examining advantages, potential, and challenges in machine learning-driven investing.

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

Where's the Road? The Challenge of Autonomous Driving Perception in Winter

Explore challenges and advancements in autonomous driving during harsh Canadian winters, focusing on perception tasks and all-weather autonomy solutions.

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

Saving Lives with Machine Learning - Applications and Learnings

Explore ML applications in healthcare, focusing on Unity Health Toronto's journey and the Temerty Centre's role in advancing AI in medicine. Learn about challenges and innovations.

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

Declarative Machine Learning Systems - Ludwig and Predibase

Explore declarative machine learning systems, focusing on Ludwig framework and Predibase enterprise solution for flexible, simplified ML infrastructure.

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

Real-time Machine Learning - Architecture and Challenges

Explore real-time machine learning architectures, challenges, and the importance of fresh data for online predictions in ML applications.

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

Marketplace Experimentation at SpotHero

Explore dynamic pricing and experimentation in two-sided marketplaces. Learn about switchback testing and its application in improving KPIs for parking reservation platforms.

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

2022 AI Index Report Briefing - Key Trends in Artificial Intelligence

Explore key AI trends from the 2022 AI Index Report, covering research, technical advancements, ethics, economics, policy, and education in this insightful briefing.

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

Introducing the Tenstorrent Model Zoo - AI Accelerator Hardware and Developer Ecosystem

Explore Tenstorrent's AI accelerator hardware, software stack, and Model Zoo. Learn to run large-scale models like BERT and GPT3 efficiently using the BUDA API and developer ecosystem.

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

Latent User Intent Modeling in Recommender Systems

Explore latent variable models for capturing user intents in recommender systems, enhancing understanding beyond item-level interactions.

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