March 24, 2021

Supervised Learning vs. Unsupervised

Learn about the different methodologies that data science utilizes in order to analyze big chunks of data.

Let’s run through the fundamentals of data science methodologies, supervised and unsupervised. Which is best for you? 

Supervised Learning 

Supervised Learning has to do with datasets and how the datasets are labeled. Datasets train your algorithm to classify data and determine the outcomes of your algorithm in the most accurate way possible. With supervised learning, developers can learn about the algorithm over time with increasing efficiency. 

The Regression Method: this method leverages an algorithm to understand variables. These  models help to predict outcomes as well. Sales revenue or LTV can be predicted using regression. 

Unsupervised Learning 

Unsupervised learning uses machine learning algorithms to analyze and cluster unlabeled data sets. These algorithms discover hidden patterns in data without the need for human intervention (hence, they are “unsupervised”).

Unsupervised learning uses machine learning to determine data sets that are unlabeled and we use them for a few main reasons:

Clustering: This is a technique used to group data sets. We label them and group them based on their differences or common properties

Association: This is a technique used to find the relationship between datasets with variables. This is often leveraged in doing basket analysis and in finding recommendations. For example, this is used to determine predictions on what customers might buy next. 

Lastly, Dimensionality Reduction: This is a learning technique we use when we have too many variables in a dataset. This reduces the different variables in the dataset and keeps the integrity intact.

data science

Ultimately, the main difference between unsupervised and supervised learning is labeling vs non labeled data sets. 

Ask about our Insurtech Solutions here, and learn more about how we apply supervised and unsupervised learning here.

Case Study from Arkusnexus
Keith Goatley
Keith is currently Marketing Manager for ArkusNexus and believes in marketing that is customer centric, data driven, digital first, and purpose led.
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