Combatting Human Trafficking with Anomaly Detection - Part 1
Explore anomaly detection techniques to combat human trafficking through financial data analysis. Learn to leverage transaction patterns and industry indicators for effective detection.
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.
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.
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.
Building and Operating an Open Source Data Science Platform
Develop an end-to-end data analytics pipeline, from exploratory analysis to model deployment. Learn pipeline orchestration, distributed training, automation, and monitoring for scalable machine learning projects.
Enabling a Data-Driven Enterprise - Part 1
Discover strategies for building a data-driven organization, reducing AI bias, and fostering human-machine collaboration to drive innovation in enterprise settings.
How to Set Your Internal AI Initiative for Production-Level Success
Explore strategies for maximizing AI project success in production, building credibility with decision-makers, and selecting high-impact initiatives within organizations.
Machine Learning in One Health
Explore machine learning applications in One Health, addressing interconnected human, animal, and environmental health issues with Graham Taylor, a leading AI researcher and entrepreneur.
Deep Learning Across Label Confidence Distribution via Transfer Learning
Improve predictive power in noisy data systems using Filtered Transfer Learning (FTL). Learn to handle datasets with varying label confidence through hierarchical fine-tuning and iterative filtering.
Responsible AI: Principles and Practices for Ethical Machine Learning
Explore AI's impact on business strategy and innovation with insights from industry expert Kathryn Hume at TMLS2019.
Introduction to TensorFlow - Hands-on Workshop
Explore TensorFlow through hands-on practice, completing an end-to-end tutorial to gain practical skills in building and deploying machine learning models.
TMLS2019
Explore advanced techniques in machine learning and data science with insights from industry experts at the Toronto Machine Learning Series conference.
ML-Based Privacy-Preserving Framework for Generating Synthetic Data from Aggregated Sources
Explore a multi-stage framework for generating synthetic data from aggregated sources, focusing on downscaling techniques and real-world applications in data privacy and model performance improvement.
A Human-Centered Design Approach to AI and ML
Explore a human-centered design approach to AI and ML, gaining practical tools and frameworks for building innovative, disruptive digital products and services.
MLOps Without Much Ops - Building Efficient Machine Learning Systems
Discover modern, no-nonsense data pipelines for efficient machine learning systems. Learn PaaS advantages and explore real-world applications with open-source code. Gain insights on ML's future for organizations of all sizes.
Lessons From Fast Growing Companies in Adopting and Accelerating AI
Discover strategies for AI adoption in fast-growing companies. Learn how to capitalize on AI's potential, overcome challenges, and drive innovation and growth in startups and scale-ups.
Retail AI Use Case: Building a Demand Prediction Model
Explore retail AI demand prediction models, KPIs, and implementation strategies for effective business use cases in the retail industry.
AI and Advanced Analytics in Retail
Explore key ML, DL, RL, and Graph Analytics use cases in Retail, with a demo of Microsoft Azure AI platform's MLOps capabilities in a Retail environment.
Deep XVA - Efficient Derivative Valuation for Risk Management
Explore efficient XVA calculation using deep learning, GPU computation, and AAD for computationally intensive finance models.
Solving for Infrastructure Through the Cloud in Healthcare AI Implementation
Explore cloud-based solutions to overcome AI implementation challenges in healthcare, addressing infrastructure gaps and enabling real-world impact on patient care.
COVID-19 Vaccination Demand Forecasting in Canadian Pharmacies
Develop an analytic forecasting framework for COVID-19 vaccination demand in Canadian pharmacies using historical data, geospatial demographics, and digital surveys.