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Unsupervised Machine Learning

Unsupervised Machine Learning

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Bethany Jepchumba

July 08, 2025
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  1. Recap: what is machine learning? This is often the foundation

    for an AI system and is the way we "teach" a computer model to make prediction and draw conclusions from data. Machine learning automates the process of pattern-discovery by finding meaningful insights from real-world or generated data.
  2. Steps in Machine Learning Understand the problem Collect and Prepare

    data Choose a training method Train your model Evaluate the model Parameter tuning Predict
  3. Clustering • Clustering is a machine learning task where it

    looks to find objects that resemble one another and group these into groups called clusters. • Clustering algorithms are used to process raw, unclassified data objects into groups represented by structures or patterns in the information.
  4. K-Means Clustering • Silhouette scoring: evaluate the quality of clusters

    created using clustering algorithms • Elbow method: a heuristic used in determining the number of clusters in a data set • Inertia: a measure of how internally coherent clusters are • Variance: the average of the squared differences from the Mean