Toronto Machine Learning Series (TMLS) Courses

Modern NLP: Learning to Apply Real Use Cases

Explore NLP fundamentals and apply practical coding examples in Python to solve real-world text data challenges. Master essential tools for advanced NLP topics and applications.

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

Governance for Trustworthy AI

Explore governance frameworks for developing trustworthy AI systems, focusing on ethical considerations and responsible implementation strategies.

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

TMLS 2019

Explore machine learning insights with industry experts Amit Jain and Ronaldo Felipe at TMLS 2019, gaining valuable knowledge and perspectives on cutting-edge ML developments.

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

Algorithmic Bias in Human Resources: Responsible AI and Business Strategy

Explore algorithmic bias in HR, responsible AI, and business strategy. Unpack root causes, identify symptoms, and develop strategies for responsible HR algorithms and AI projects.

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

Enhancing Older Adults' Safe Use of Automated Vehicles Using Eye-Tracking Data

Explore a framework for detecting mode confusion in older drivers using automated vehicles, utilizing eye-tracking data and machine learning to enhance safety and usability.

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

Intrusion Detection Systems - An Overview

Explore techniques for identifying system intrusions, leveraging AI, edge computing, and big data for enhanced IoT and enterprise security analytics.

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

Unsolved Problems in Human-in-the-Loop Machine Learning

Explore unsolved problems in human-in-the-loop machine learning, including uncertainty interpretation, transfer learning, and annotation quality control. Gain insights from an expert in AI and ML.

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

Graph Neural Networks with Almost No Features

Explore feature propagation in Graph Neural Networks, handling missing data efficiently. Learn scalable techniques for node classification and link prediction, even with 99% missing features.

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

AutoML Towards Deep Learning: Optimizing Neural Architectures and Hyperparameters

Explore advances in AutoML for Deep Learning, focusing on joint optimization, efficiency, and robustness. Learn about the future of automated neural architecture and hyperparameter optimization.

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

Building Machine Learning Pipelines in Airflow with Jupyter Notebooks

Learn to develop scalable, end-to-end machine learning pipelines using Jupyter Notebooks and Airflow. Explore parameterization with Papermill for efficient, maintainable ML workflows in financial services.

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

Machine Learning for Chronic Disease Management - Focus on Precision Oncology

Explore machine learning applications in chronic disease management, focusing on precision oncology, statistical modeling for multiple myeloma, and deep learning for risk stratification.

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

Recommendation Systems for Digital Out of Home Advertising

Explore probabilistic modeling for digital out-of-home advertising content recommendations. Learn strategies for effective ad distribution across digital screens and gain insights into data-driven decision-making for content selection and placement.

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

L'Oréal Canada's Bespoke Data Science Strategy Framework

Discover L'Oréal Canada's data science strategy framework. Learn to assess maturity, identify high-value projects, build ML teams, and implement effective practices in retail and e-commerce.

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

Opening the Machine Learning Black Box in Regulated Industries

Explore techniques for making machine learning models explainable and compliant in regulated industries like finance and insurance. Learn to bridge the gap between ML and regulatory requirements.

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

Practical Individual Fairness Algorithms in Machine Learning

Explore algorithmic fairness in machine learning, focusing on Distributional Individual Fairness. Learn to train certifiably fair models using transport-based regularization for various ML tasks.

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