Search results for machine learning

Toronto Machine Learning Series (TMLS)

Responsible AI Toolbox: Practical Approaches and Tools for Ethical Machine Learning

Explore practical approaches to responsible AI and learn how open-source and cloud-integrated capabilities empower data scientists to understand and improve ML models ethically.

• YouTube
• 1 hour 7 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Boosting Retail Margins: Price Optimization with Machine Learning

Discover how machine learning revolutionizes price optimization in retail, boosting gross margins by 28%. Learn algorithms and techniques that led to significant revenue gains in a luxury retail experiment.

• YouTube
• 37 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

The Missing Piece of MLOps: Observability in Machine Learning Applications

Explore ML observability's role in MLOps, learn to prepare for it, and discover how it showcases business value and recognizes data scientists' work.

• YouTube
• 1 hour 2 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Navigating the Tradeoff Between Privacy and Fairness in Machine Learning

Explore the intersection of privacy and fairness in ML, addressing challenges and research-based solutions for regulated industries.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Solving Product Substitutions in Grocery E-Commerce Through Self-Supervised Machine Learning

Explore innovative self-supervised ML techniques for solving product substitution challenges in grocery e-commerce, improving customer experience and business metrics.

• YouTube
• 33 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Interpretability Tools as Feedback Loops in Machine Learning Training

Explore machine learning interpretability techniques to optimize training sequences and develop more effective models without increasing compute or training time.

• YouTube
• 18 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

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
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Exploring the Role of Machine Learning in Solving the Climate Crisis - Opportunities, Challenges, and Successes

Discover AI's potential in combating climate change. Explore applications in wildfire prediction, financial decision-making, and supply chain emissions tracking. Learn from experts about opportunities and challenges in this critical field.

• YouTube
• 47 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Trade-off Between Optimality and Explainability in Machine Learning Models

Explore the trade-off between model explainability and accuracy in AI/ML, focusing on counterfactual explainability and optimization challenges in high-risk applications.

• YouTube
• 44 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

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
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

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
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Adapting Continuous Integration and Continuous Delivery for Machine Learning

Explore MLOps practices for managing ML complexity, adapting CI/CD workflows using Git, GitHub Actions, and DVC to balance experimentation with stability in production.

• YouTube
• 34 minutes
• On-Demand
• Free Video

Toronto Machine Learning Series (TMLS)

Creating Harmony Between Machine Learning Engineers and Researchers

Discover strategies to bridge the gap between ML engineers and researchers, enhancing collaboration and efficiency in AI projects.

• YouTube
• 45 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

LLM Review: Qwen2 VL 2 Billion Parameter Instruct Model for Data Science and Machine Learning

Explora las capacidades del modelo Qwen2 VL de Alibaba Cloud para análisis de video y respuesta a preguntas mediante ejemplos prácticos.

• YouTube
• 23 minutes
• On-Demand
• Free Video

The Machine Learning Engineer

Google Colab Tricks and Tips for Data Science and Machine Learning

Discover essential tricks and tips for maximizing Google Colab in data science and machine learning projects. Enhance productivity and efficiency with practical insights.

• YouTube
• 53 minutes
• On-Demand
• Free Video