Toronto Machine Learning Series (TMLS) Courses

Computer Vision in Practice - Building an End-to-End Pipeline for Object Detection and Segmentation

Build an end-to-end image segmentation pipeline using deep learning. Learn dataset customization, model training, validation, testing, and mobile deployment techniques.

• YouTube
• 2 hours 15 minutes
• On-Demand
• Free Video

Holistic Health Metrics for ML-Based Products

Explore holistic health metrics for ML-based products. Learn where and when to collect data, model, post-model, and business-level metrics to ensure system accuracy and reliability.

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

Build, Train, and Deploy Models with Amazon SageMaker

Learn to build, train, and deploy machine learning models using Amazon SageMaker through hands-on experience. Gain practical skills in ML model development and implementation on AWS platform.

• YouTube
• 1 hour 26 minutes
• On-Demand
• Free Video

Women in AI - Transitioning Careers, Challenges, and Opportunities

Explore career transitions, challenges, and opportunities for women in AI through insights from industry experts and leaders.

• YouTube
• 1 hour 5 minutes
• On-Demand
• Free Video

Validate and Monitor Your AI and Machine Learning Models

Discover techniques for validating and monitoring advanced AI and ML models, ensuring long-term performance and business adoption in various industries.

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

Simplify ML Pipeline Automation and Tracking Using Kubeflow and Serverless Functions

Simplify ML pipeline automation and tracking with Kubeflow and serverless functions. Learn to streamline your machine learning workflows for improved efficiency and productivity.

• YouTube
• 1 hour 4 minutes
• On-Demand
• Free Video

Introduction to Machine Learning with Python

Explore machine learning fundamentals using Python, covering key concepts and practical applications in this hands-on workshop led by a field engineer from Domino.

• YouTube
• 1 hour 55 minutes
• On-Demand
• Free Video

ML Monitoring ML: Scalable Monitoring of ML Models in Production Environments

Explore scalable ML model monitoring in production. Learn key performance measures, anomaly detection techniques, and an open-source agent for automated tracking and alerting of model issues.

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

Automated Pipeline for Large-Scale Neural Network Training and Inference

Explore cloud-native ML pipeline for automated anomaly detection using BiLSTM models. Learn to manage thousands of models with data collection, training, validation, and deployment techniques.

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

Reaching Lightspeed Data Science - ETL, ML, and Graph with NVIDIA RAPIDS

Accelerate data science workflows using GPUs and RAPIDS. Learn performance gains, easy migration, and new possibilities in ETL, ML, and graph analytics.

• YouTube
• 1 hour 19 minutes
• On-Demand
• Free Video

How to Automate Machine Learning with GitHub Actions

Automate machine learning workflows using GitHub Actions to speed up development cycles and streamline model deployment.

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

Quantum-Assisted Machine Learning with Near-Term Quantum Devices

Explore quantum-assisted machine learning applications for near-term devices, focusing on generative models in unsupervised and semi-supervised learning. Discover recent experimental implementations.

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

Real-Time Insights into ML Model Training with Amazon SageMaker Debugger

Gain deep insights into ML model training, identify issues automatically, and optimize your workflow using Amazon SageMaker Debugger's real-time monitoring capabilities.

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

Metaflow: Supercharging Data Scientist Productivity

Discover how Netflix empowers data scientists with Metaflow, an open-source ML framework. Learn design principles for enhancing productivity and leveraging cloud strengths in machine learning workflows.

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

Raising the Quality of Online Conversations with Machine Learning

Explore how The Washington Post uses machine learning to moderate online comments, enhancing digital discourse quality and addressing technical challenges.

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