Database Reference
In-Depth Information
• Briefly cover the types of data typically used in machine learning.
• Provide examples of where to obtain interesting datasets, often publicly available
on the Internet. We will use some of these datasets throughout the topic to illus-
trate the use of the models we introduce.
• Discover how to process, clean, explore, and visualize our data.
• Introduce various techniques to transform our raw data into features that can be
used as input to machine learning algorithms.
• Learn how to normalize input features using external libraries as well as Spark's
built-in functionality.
