Description
“Exploring Azure Machine Learning Studio Techniques” is a comprehensive training program designed to equip participants with the knowledge and skills needed to leverage the capabilities of Microsoft’s Azure Machine Learning Studio effectively at Locus Academy .
Through a combination of theoretical instruction and hands-on practical exercises, participants will delve into various techniques and methodologies essential for developing, deploying, and managing machine learning models within the Azure ecosystem. The training covers a wide range of topics, including data preprocessing, feature engineering, model selection, hyperparameter tuning, and evaluation metrics.
Participants will also learn how to integrate Azure Machine Learning Studio with other Azure services, such as Azure Databricks and Azure DevOps, to create end-to-end machine learning pipelines. By the end of the training, participants will have gained a solid understanding of Azure Machine Learning Studio and be well-prepared to apply its techniques to real-world machine learning projects.
TABLE OF CONTENT
Unit 1: Introduction to Azure ML Studio
Overview of Azure ML Studio
Introduction to Machine Learning
Key Concepts in Azure ML Studio
Unit 2: Getting Started with Azure ML Studio
Setting Up an Azure ML Studio Workspace
Exploring the Azure ML Studio Interface
Creating and Managing Experiments
Unit 3: Data Preparation in Azure ML Studio
Importing and Loading Data
Exploring and Cleaning Data
Feature Engineering in Azure ML Studio
Unit 4: Building Machine Learning Models
Selecting and Training Models
Model Evaluation and Performance Metrics
Hyperparameter Tuning in Azure ML Studio
Unit 5: Model Deployment and Integration
Deploying Models in Azure ML Studio
Integrating Models into Applications
Real-time and Batch Scoring
Unit 6: Automated Machine Learning (AutoML)
Introduction to AutoML in Azure ML Studio
Using AutoML for Model Selection
Automated Hyperparameter Tuning
Unit 7: Monitoring and Managing Models
Model Versioning and Lifecycle Management
Monitoring Model Performance
Retraining Models in Azure ML Studio
Unit 8: Case Studies and Practical Applications
Real-world Use Cases
Industry Applications of Azure ML Studio
Best Practices and Tips for Success
Please Visit Azureml Official Site: || Locus Academy ha s more than a decade experience in delivering the training/staffing on Exploring Azure Machine Learning Studio Techniques for corporates across the globe. The participants for the training/staffing on Exploring Azure Machine Learning Studio Techniques are extremely satisfied and are able to implement the learnings in their on going projects.
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