Predicting the Future with Machine Learning
Explore machine learning's power to predict future events, from flight delays to sentiment analysis, with practical steps for building and deploying predictive models using Azure tools.
Python Data Science with VS Code and Azure
Discover how Native Notebooks in VS Code enhance data science workflows and learn to deploy machine learning models using Azure Machine Learning service for improved productivity and efficiency.
Uncovering Azure's Silent Threats - A Journey Into Cloud Vulnerabilities
Explore Azure ML vulnerabilities, including credential leaks and sensitive information disclosure. Learn analysis techniques for assessing managed cloud services and understanding shared security responsibilities.
Unleash Your AI Potential
Explore the paradigm shift in AI adoption, its impact across industries, and strategies for successful AI projects. Learn how developers can leverage AI to create innovative solutions and drive positive change.
Python & Visual Studio Code - Revolutionizing the Way You Do Data Science
Discover how Visual Studio Code, GitHub, Codespaces, and Azure ML enhance Python data science productivity. Learn about VS Code Notebooks, Data Wrangler, collaboration features, and deployment options.
Improving Data Analytics with Azure Machine Learning
Explore Azure Machine Learning for data analytics, from data classification to model selection, integration, and deployment in Data Factory pipelines, enhancing decision-making and insights.
Treasure Map - Choosing the Right Algorithm in Azure ML
Discover how to select optimal algorithms in Azure ML for data analysis and predictive modeling, enhancing your machine learning capabilities and decision-making processes.
From Power BI to Power AI
Explore integrating R, Azure Machine Learning, and advanced Power BI features for enhanced data insights and automated analysis capabilities.
AI with Power BI - Business Intelligence
Learn to create and use machine learning models in Power BI, leveraging Azure's capabilities for data-driven insights. Hands-on demos showcase AI integration for enhanced business intelligence.
Introduction to Azure AI - The Art of the Possible
Explore Azure AI's potential to transform businesses using data science and machine learning. Learn how to leverage this suite for client solutions through practical demonstrations and real-world examples.
Azure Machine Learning 101
Explore Azure ML's no-code approach to machine learning, from data preparation to model deployment, suitable for both beginners and experienced data scientists.
Azure Machine Learning for the Developer
Learn Azure Machine Learning fundamentals and how to leverage cloud-based predictive models. Discover the potential and ease of implementing machine learning in your software development projects.
Using EEG and Azure Machine Learning to Perform Lie Detection
Explore EEG-based lie detection using Azure Machine Learning. Learn about data collection, model building, and result analysis, with insights on limitations and future directions.
Enhanced AML Fraud Detection Solutions with Azure Machine Learning
Enhance AML fraud detection using Azure Machine Learning to reduce false positives and prioritize flagged items. Learn implementation techniques and explore applications in other financial domains.
AI in the Battle Against Fakes
Explore AI-powered counterfeit detection: from building blocks to deployment. Learn about Azure services, DevOps integration, and practical implementation for developers.
AI-Driven Data Enrichment with Azure Cognitive Search
Harness Azure Cognitive Search to enrich data, extract insights from documents, and leverage AI-driven capabilities for improved information retrieval and analysis.
Build and Deploy Production Ready PyTorch Models
Explore Azure Machine Learning for PyTorch model lifecycle management, from data handling to deployment on Kubernetes, emphasizing scalability and production readiness.
AI in the Battle Against Fakes
Explore AI-powered counterfeit detection: from building blocks to deployment. Learn about Azure services, DevOps integration, and practical implementation for developers.
Taking Models to the Next Level with Azure Machine Learning
Explore Azure Machine Learning for custom model training, from pre-built cognitive services to AutoML and hyperparameter tuning, with practical examples for text analysis and sentiment analysis.
Fine-Tuning Vision Transformer for Retina Image Classification - Inference on Azure ML AKS
Fine-tune a Vision Transformer for diabetic retinopathy detection using EyeQ dataset and deploy on Azure ML with AKS for managed inference.
MLOps on Azure Machine Learning Studio
Automate and streamline machine learning lifecycle with MLOps on Azure ML, integrating ML, DevOps, and Data Engineering for consistent, high-quality model delivery.