Intro to Azure ML and Cloud Computing
Explore Azure ML Studio's cloud-based data science capabilities, from data upload and visualization to preprocessing and cleaning, using its intuitive graphical interface.
Build and Deploy Machine Learning Models on Azure ML Studio
Explore ML fundamentals with Azure, from setup to deployment. Ideal for beginners building their first model using Azure ML studio.
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.
Machine Learning Simplified - From Ideation to Deployment in Minutes with Automated ML
Discover how to train high-quality ML models using Azure Machine Learning's automated ML, requiring only a dataset and minimal configuration parameters.
Automated Machine Learning on Azure - Comparing Azure ML Service and Azure Databricks
Explore AutoML on Azure Machine Learning Service and Azure Databricks to quickly build and deploy ML models, reducing time and expertise required for preprocessing and model creation.
Model Creation in Azure AutoML and Ingestion Through Excel
Explore Azure AutoML for machine learning, from model creation to Excel integration via VBA, with a focus on practical applications and time-saving techniques.
Medical Imaging with Azure Machine Learning
Explore Azure Machine Learning for medical imaging applications, covering data management, model development, deployment, and explainability in healthcare scenarios.
Build NLP Model with Azure ML AutoML NLP Capability
Learn to build NLP models using Azure ML AutoML for tasks like classification and named entity recognition. Explore multilingual support, data labeling, and distributed training for efficient model development.
Auto-Train a Time-Series Forecast Model with AML & ADB
Learn to auto-train time-series forecast models using Azure Machine Learning and Azure Databricks for large-scale enterprise solutions in supply chain, healthcare, insurance, and finance.
Auto-Train a Time-Series Forecast Model with Azure Machine Learning and Azure Databricks
Discover how to efficiently build accurate forecasting models at scale using Azure Machine Learning and Azure Databricks, enhancing enterprise AI/ML capabilities for various industries.
Introduction to Azure Data Services One by One
Explore Azure's diverse data services, from SQL Database to Databricks, understanding their purposes and use cases to make informed choices for your data management needs.
Microsoft Ignite - Data and AI Innovations in Azure
Explore Azure AI's comprehensive offerings for scalable, enterprise-ready, and responsible AI solutions. Learn about latest trends, use cases, and key announcements in AI and machine learning.
What's New in Azure Machine Learning - Hybrid with Azure Arc and More
Explore Azure Machine Learning's latest features: hybrid with Azure Arc, output datasets, labeling, and interactive data preparation. Learn about custom roles, RBAC, and responsible AI development.
Unlock AI Innovation with Azure AI Infrastructure
Explore Azure's GPU-accelerated clusters for AI model training and inference, integrating with Azure Machine Learning and third-party solutions to drive AI innovation.
Feature Exploration, Visualization, and Predictive Modeling with R and Azure ML
Explore predictive analytics using the Titanic dataset. Learn feature exploration and visualization with R, then build models using Azure ML Studio for efficient experimentation.
Breaking Managed Identity Barriers in Azure Services
Explore novel approaches to bypass Managed Identities security in Azure Functions and Machine Learning, uncovering vulnerabilities that allow stealthy persistence and token extraction.
MLflow and Azure Machine Learning - The Power Couple for ML Lifecycle Management
Explore MLflow and Azure Machine Learning integration for streamlined ML lifecycle management, covering versioning, run history, automation, deployment, and CI/CD pipelines in MLOps.
What's New in Generative AI - Latest Innovations in Azure AI Services
Explore the latest innovations in Azure AI services, including OpenAI, Machine Learning, and AI Search. Discover advancements in AI Studio like Text-to-Speech avatars and GPT-4 Visual.
Using EEG and Machine Learning to Perform Lie Detection - YOW! 2017
Explore EEG-based lie detection using Azure Machine Learning. Learn about data collection, model building, and limitations in this innovative experiment combining neuroscience and AI.
AI Show - Ignite Recap: Arc-Enabled ML, Language Services, and OpenAI
Recap of Microsoft Ignite announcements, featuring Arc-enabled ML, Language services, and OpenAI capabilities on Azure. Includes demos, Q&A sessions, and discussions on responsible AI use.
Duplicating Black Box Machine Learning Models
Exploración de técnicas avanzadas para duplicar modelos de aprendizaje automático de caja negra, destacando vulnerabilidades en servicios en la nube y proponiendo un nuevo método de ataque más eficiente.