Welcome, in this lesson,
we will look at how to train and deploy a predictive model in
Microsoft Azure machine learning. After completing this lesson, you will be able to identify different
types of machine learning models. And use the automated machine learning
capability of Azure machine learning to train and deploy a predictive model. What is machine learning? Machine learning is a technique
that uses mathematics and statistics to create a model
that can predict unknown values. It is the foundation for
most artificial intelligence solutions. The creation of an artificially
intelligent solution often begins with the use of machine learning to train a
predictive model using historic data that you've collected. Training and deploying an effective machine
learning model involves a lot of work. It can be a time consuming and
resource intensive process. Azure machine learning is a cloud based
service with a wide range of features and capabilities that help data scientists
to prepare data, train models, publish predictive services,
and monitor their usage. Most importantly, it helps data scientists
increase their efficiency by automating many of the time consuming tasks
associated with training models. Azure machine learning also enables the
use of cloud-based compute resources that scale effectively to handle
large volumes of data. With this cloud-based service,
you pay only for the Azure machine learning
resources that you use. To create an artificially intelligent
solution, you often begin by using machine learning to train a predictive
model using historic data. For example, suppose Adventure Work Cycles
is a business that rents bicycles. To ensure that sufficient staff and
bicycles are always available, the business could use historic data
to train a model that predicts daily rental demand. To do this, the business could create
a machine learning model that takes information about a specific day,
the day of the week, the anticipated weather conditions and
so on as an input. The model then predicts the expected
number of rentals as an output. Later, you will see more about how
Adventure Work Cycles could use a machine learning model. In the rest of this lesson, you'll explore
Azure machine learning and in particular, its automated machine learning capability. Be sure to check out the next video
which discusses the various types of machine learning model you can create. And the process generally
followed to train and use them.