Overview UK firms are moving from cloud storage to AI-driven decisions; ONS reported that 9% used AI and 69% used …
| Azure Machine Learning | |||
| Module 01: Introduction to Microsoft Azure Machine Learning Studio and Administration | 00:22:00 | ||
| Module 02: Various Modules in Machine Learning | 00:13:00 | ||
| Module 03: Prediction of Income (Automated Tutorial) | 00:33:00 | ||
| Module 04: Prediction of Automobile Price using Linear Regression Algorithm | 00:59:00 | ||
| Module 05: Dataset Processing and Analysis (Sample-1) | 00:57:00 | ||
| Module 06: Cross Validation for Regression (Sample-2) | 00:28:00 | ||
| Module 07: Clustering Group Iris data (Sample-3) | 00:17:00 | ||
| Module 08: Introduction on Notebook in Microsoft Azure Machine Learning Studio | 00:18:00 | ||
| Assignment | |||
| Assignment – Azure Machine Learning | 00:00:00 | ||
Azure Machine Learning is a Microsoft cloud service for managing the machine learning project lifecycle. It supports model training, deployment, monitoring and MLOps, helping learners understand how cloud-based machine learning workflows are developed and managed.
Yes, this course can support beginners who want a clear starting point in cloud machine learning. It introduces Azure ML Studio, machine learning modules, dataset processing, prediction examples, regression, clustering and notebooks in a structured way.
You will learn Azure Machine Learning Studio, administration basics, machine learning modules, income prediction, automobile price prediction using linear regression, dataset processing, regression cross-validation, Iris data clustering and notebook use in Azure ML Studio.
Yes, the course covers model training through machine learning examples such as prediction, regression, dataset processing and clustering. Learners explore how data is prepared, analysed and used to support machine learning model workflows.
This course can support learning routes linked to machine learning engineer, data analyst, AI support, software developer, cloud data specialist, junior data scientist, predictive modelling assistant and business intelligence support roles.