Section 3: The Training and Optimization of Machine Learning Models
In this section, we will learn all about training and optimizing traditional Machine Learning (ML) models as well as deep learning models on Azure. First, we will investigate the benefits and downsides of traditional ensemble techniques and their differences from newer neural network-based models. We will then implement and train Convolutional Neural Networks (CNNs) on Azure using the capabilities of Azure Machine Learning services. Following this, we will look at ways to optimize model training through hyperparameter tuning and automated ML. Furthermore, we will have a look at how to run ML training not on a single compute instance, but on a distributed cluster. With the knowledge obtained, we'll wrap this section up by building a recommendation engine in the cloud.
This section comprises the following chapters:
- Chapter 9, Building ML Models Using Azure Machine Learning
- Chapter 10, Training Deep...