We've all heard the buzzword "Machine Learning" but for many of us we don't know what exactly it means. Join us for a webinar on Thu, May 25, 2017 3:30 PM EST. We will explain what Machine Learning can practically mean for your nonprofit, along with other data science concepts and show a live demo of creating and training a model in Microsoft Azure. Below we will explain what Machine Learning is and how is can benefit your nonprofit.
What is Machine Learning?
According to David Chappell's, Introducing Azure Machine Learning "Machine learning examines large amounts of data looking for patterns, then generates code that lets you recognize those patterns in new data. Your applications can use this generated code to make better predictions. In other words, machine learning can help you create smarter applications."
The more data you have the easier it is to identify patterns.
What is Machine Learning in the Microsoft Azure cloud?
Azure Machine Learning is a cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions.
You can work from a ready-to-use library of algorithms (math equation), use them to create models on an internet-connected PC, and deploy your predictive solution quickly.
Image from Microsoft
Key machine learning terms
Data exploration is the process of gathering information about a large and often unstructured data set in order to find characteristics for focused analysis.
Data mining refers to automated data exploration.
Descriptive analytics is the process of analyzing a data set in order to summarize what happened. The vast majority of business analytics - such as sales reports, web metrics, and social networks analysis - are descriptive.
Predictive analytics is the process of building models from historical or current data in order to forecast future outcomes.