Toronto Machine Learning Series (TMLS) Courses

Artificial Intelligence for Molecular Design and Self-Driving Labs

Explore AI and automation for designing functional molecular materials, focusing on recent advancements in the field.

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

Machine Learning Deployment and Product Integration - Best Practices and Lessons Learned

Explore best practices for deploying ML models and integrating them into core business functions. Learn from real-world experiences in on-demand inference deployment.

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

Fast Language Generation by Finetuning Pretrained Transformers

Explore efficient language generation by converting pretrained transformers to RNNs, improving speed without sacrificing accuracy through a swap-then-finetune approach.

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

Federated Learning: Unlocking the Value of Distributed Data

Explore federated learning to leverage distributed data for robust machine learning models without centralizing sensitive information. Learn benefits, challenges, and practical applications.

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

NLP at Scale: From Training to Inference and MLOps

Explore industrial NLP applications, business cases, and deployment scenarios for large-scale language processing solutions.

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

Model Risk Management in the Age of AI

Explore model risk management strategies for AI, addressing complexity, regulatory compliance, and business impact mitigation.

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

Accelerating Talent in AI - Overcoming Industry Challenges

Explore key obstacles in AI talent acquisition and strategies to overcome them, empowering academia, graduates, and businesses to bridge the industry-ready talent gap.

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

DVC: Data Versioning and ML Experiments on Top of Git

Explore data versioning and ML experiment tracking with DVC, integrating code, data, and models in Git repositories for efficient ML workflow management.

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

Deep AutoViML for TensorFlow Models and MLOps Workflows

Explore Deep AutoViML for building powerful TensorFlow models and MLOps workflows. Learn to fast prototype data pipelines and models using TF 2.4+ and Keras preprocessing layers.

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

Enhancing Machine Learning Applications with Wisdom of the Crowd

Explore ensemble techniques to boost ML model performance, explainability, and usability for complex problems by leveraging multiple specialized models.

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

Fund2Vec: Mutual Funds Similarity Using Graph Learning

Explore a novel approach to identify similar mutual funds using graph learning and network embedding techniques, providing data-driven insights for portfolio analysis and fund recommendations.

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

Analyzing the Security of Machine Learning for Algorithmic Trading

Explore adversarial attacks on ML-based algorithmic trading systems, evaluating robustness and discussing realistic attack scenarios in financial markets.

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

Improving Sales Efficiency via Yelp's Model Platform

Enhance sales productivity using machine learning techniques and operationalize models with Yelp's platform. Gain insights from a real-world case study.

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

Solving Hard Problems When Data is Small - A Case Study with Semantic Parsing

Learn techniques for solving challenging NLP problems with limited data, focusing on cross-domain text-to-SQL semantic parsing. Explore model architecture, training deep transformers, and effective data augmentation strategies.

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

Development of Machine Learning Methods to Improve ESG Scores and Responsible Investment Decisions - Part 1

Explore machine learning methods for improving ESG scores and responsible investment decisions. Learn to extract and analyze ESG information from company disclosures using NLP techniques.

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