Unsupervised Machine Learning

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Get the computer to hunt for patterns in structure buried within a huge dataset with Unsupervised Machine Learning techniques and methodologies.

Best suited for tech teams or programmers needing to uncover more insights from unstructured data.

Duration:
3 days

Develop and train data models to uncover underlying patterns in data.

This course focuses on how you can use Unsupervised Learning approaches -- including randomized optimization, clustering, dimension reduction, and feature selection and transformation -- to find structure in unlabeled data.

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Find patterns in messy data.

Machine learning describes the process of identifying underlying patterns in data. This module aims to give you a thorough understanding of the relevant algorithms to use when labelled training data is not available.  Closely related to pattern recognition, Unsupervised Learning is about analyzing data and looking for patterns. It is an extremely powerful tool for identifying structure in data.

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Discover new insights faster.

After completion, you will be able to identify patterns in data, transform features to be more informative and less redundant, and build simple recommender systems. These skills will allow analysts to identify patterns in data and gain new insights not possible with conventional statistical methods.

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Save more time than ever.

You will learn several clustering and dimension reduction algorithms for unsupervised learning as well as how to select the algorithm that best suits your data. Most suited for analysts, data scientists, and business intelligence professionals who want to build machine learning models to uncover hidden patterns from data.

Learning Outcome

Upon completion, participants should be able to demonstrate each of the following;

  1. Effectively perform feature reduction on data.
  2. Use unsupervised machine learning algorithms to cluster data.
  3. Build simple recommender systems.

Learning Path

Unsupervised Machine Learning is one of the modules under the CADS Enterprise Data Scientist (EDS) Programme. EDS is a 23-26 days training program that super-charges Business Data Scientists with new skills to analyze and communicate insights effectively.

CADS Certification

Each exam in this program certifies job-ready knowledge and skill. Those that pass all are recognized as being able to distil insight from data and communicate its value to a decision-maker. Enter the world of Data Professionals.

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