Machine Learning With Azure (Synchronous e-learning)
About This Course
The course aims to introduce the concept of how to perform machine learning tasks using the Microsoft Azure Machine Learning Studio (ML Studio). The participants will be able to quickly built appropriate ML solutions to business problems such as forecasting churn rate and periodic sales values. Participants can deploy the trained model as a REST API for client applications. The ML Studio is a web-based tool that allows participants to perform machine learning tasks without the need to learn to code (it does allow you to insert code if you want). Using the various built-in machine learning algorithms, participants just need to focus on the tasks rather than the implementation. Participants will learn how to automate the machine learning training process, using the Microsoft Automated Machine Learning (AutoML). Participants will learn how to automate the time-consuming and iterative process of creating and training ML models.
What You'll Learn
Introduction to ML (1 hr)
Importing datasets and creating experiments (1 hr)
Using various Modules (1 hr)
Applying ML Algorithms (2 hrs)
Building ML Models (1 hr)
Training and testing model (1 hr)
Deploying ML Model (1 hr)
Automating Machine Learning:
Introduction to AutoML (1 hr)
Identify ML problems(1 hr)
Configuring Automated ML and parameters (2 hrs)
Submission of training runs (1 hr)
Feature Engineering (1 hr)
Ensemble Models (1 hr)
Selection of ML Targets (1 hr)