Toronto Machine Learning Series (TMLS) Courses

State-of-the-Art Deep Learning-Based Object Detection in 2D

Explore state-of-the-art object detection systems, including two-stage, one-stage, and transformer-based approaches. Learn to upgrade detection pipelines and tackle key challenges in 2D and 3D object detection.

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

Deep Learning Based Lung Ultrasound Video Classification to Predict COVID-19

Explore deep learning techniques for classifying lung ultrasound videos to predict COVID-19, leveraging advanced machine learning for medical diagnostics.

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

Open Source Privacy Preserving Inference in Medical Imaging

Explore privacy-preserving machine learning in healthcare, focusing on secure prediction-as-a-service and model testing. Learn about CrypTFlow, a system for compiling TensorFlow/ONNX to secure computation protocols.

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

Simplifying Machine Learning Lifecycle Management in Healthcare

Explore end-to-end ML lifecycle in healthcare using Azure services. Learn data ingestion, model creation, deployment, and visualization for real-time patient predictions and batch scoring.

• YouTube
• 2 hours 12 minutes
• Self-Paced
• Free Video

Simplifying Machine Learning Lifecycle Management in Healthcare

Simplify ML lifecycle management in healthcare with practical insights and strategies for efficient model development, deployment, and monitoring.

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

From Concept to Production - Template for the Entire Machine Learning Journey

Develop a production-ready ML pipeline from concept to deployment, covering data prep, model training, and orchestration using Kubeflow on Google Cloud Platform's Vertex AI.

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

NLP Without a Ready-made Labeled Dataset

Explore NLP techniques for scenarios without pre-labeled datasets. Learn strategies for dataset creation, annotation, augmentation, and transfer learning in real-world NLP applications.

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

Cardiometabolic Disease Trends in Canada

Explore cardiometabolic disease trends in Canada, analyzing data patterns and implications for public health strategies and interventions.

• YouTube
• 1 hour 19 minutes
• Self-Paced
• Free Video

Interpretable Self-Explanatory Machine Learning Models

Explore interpretable machine learning models that are self-explanatory, focusing on making complex neural networks more transparent and understandable for critical applications.

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

Data Shift and Model Adaptation in Machine Learning

Explore data shift principles, detection strategies, and adaptation techniques in machine learning for dynamic environments. Practice hands-on with advanced topics to enhance model performance.

• YouTube
• 2 hours 1 minute
• Self-Paced
• Free Video

Recent Developments in Neural Search

Explore cutting-edge neural methods for semantic search, improving text search quality with pre-trained transformer networks and advanced deployment techniques.

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

Bringing Structure Into an Unstructured World - Applying State-of-the-Art Machine Learning at Digits

Explore how Digits applies transformer models to extract structured information from unstructured financial data and deploys ML experiments in production using TensorFlow.

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

AI in Digital Pathology

Explore AI applications in digital pathology, revolutionizing disease diagnosis and treatment through advanced image analysis and machine learning techniques.

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

Feature Store Best Practices for Machine Learning in FinTech

Explore feature store best practices in fintech, covering versioning, automation, visualization, and efficiency improvements. Includes demo.

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

Moore's Law is Dead - Now What? The Future of AI Processing

Explore the future of AI processing beyond traditional CPUs and GPUs, focusing on innovative architectures designed for demanding ML workloads in retail and beyond.

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