Mood Analysis Remarketing Likeihood to Convert

The most commonly used machine learning technique, classification matches inputs with outputs by mapping values. Consider classification as a cause and effect algorithm,

helping to predict labels and categories based on known data.

Classication

Perform Customer Segmentation

Predict Customer Tastes Determine Market Price

Most commonly known to Marketers as segmentation, clustering is the machine learning technique for dividing a population into groups using data points. Clustering groups indicate that those within a group are more similar to one another than those outside of the group. This type of machine

learning is often applied in marketing for identifying customer personas andidentifying customer personas and planning targeted efforts.

Clustering

Predict occurrence of social trends

Foresee Website Downtime

Catch Abnormal Content Response Rates

This machine learning technique is exactly as it sounds, finding data that is simply unusual. Anomaly detection

involves monitoring data for outliers or breaks in a pattern that do no conform with expected behavior. A common

use for anomaly detection is anticipating hightraffic times on websites or in stores.

Anomaly Detection

Analyze Advertising ReturnsPredict Sales FiguresOptimize Marketing Mix

This type of machine learning predicts outcomes that are continuous. Regression differs from classification in that it predicts unique values as opposed to predicting categories or actions. For example, a classification model may predict that a customer will buy a sweater, while a regressionmodel will predict the amount a customer is willing

to pay for that sweater based on to pay for that sweater based on multiple variables.

Regression

Machine LearningAlgorithms

Machine Learning for Marketers Machine learning is the scientific method for automatically recognizing patterns and making intelligent decisions through the modeling of data, or in other words, machines combing through data to learn and make predictions. Machine learning isn’t just one type of learning but, a set of many different techniques uniquely designed to

answer different questions in your business.

Machine learning is often applied to marketing functions, making predictions about customer behavior and relationshipsto increase engagement and drive revenue. As Marketers, we must understand the types of machine learning techniques

available so that we can ask the most of our machine learning efforts. To better understand the capabiltiies of machine learning,available so that we can ask the most of our machine learning efforts. To better understand the capabiltiies of machine learning, it’s helpful to seperate them into groups based on how they work.

Identify the unique machine learning use cases that will produce immediate value and springboard the advanced analtyic techniques to improve the entire enterprise. Register at www.ccganalytics.com/microsoft/ml-workshop today for a custom Machine Learning Workshop to learn more about digitally transforming your business.