ML 4 : Unsupervised Learning with Examples |

Introduction to Unsupervised Learning

• Overview of machine learning types:

  • Supervised Learning

  • Unsupervised Learning

  • Reinforcement Learning

• Focus on unsupervised learning algorithms in this session

What is Unsupervised Learning?

• Definition: Algorithms that use unlabeled datasets for training.

• Example: Training a machine with various images of animals without labels.

• Purpose: Identify structure and patterns in the dataset.

Functionality of Unsupervised Learning Algorithms

• Tasks performed by the algorithm:

  • Grouping data based on functionalities and similarities

  • Recognizing characteristics of the dataset

• Algorithms used include:

  • K-means clustering

  • K-nearest neighbor algorithm

  • Hierarchical clustering

  • Anomaly detection

  • Neural networks

  • Principal component analysis

Working of Unsupervised Learning Algorithms

• Output of unsupervised learning:

  • Patterns identified in datasets

  • Grouping images according to characteristics

Reasons to Use Unsupervised Learning

• Finding useful insights from data:

  • Working with unlabeled and uncategorized data

  • Useful for diverse datasets

  • Identifies clustering based on similarities

• Real-world application challenges:

  • Frequently lacks labeled input data

Types of Unsupervised Machine Learning Algorithms

• Two main categories:

  • Clustering:

    • Identifying commonalities among data objects

    • Categorizing based on shared characteristics

  • Association:

    • Involves analysis, image segmentation, anomaly detection

Advantages and Disadvantages of Unsupervised Learning Algorithms

• Advantages:

  • Capable of analyzing and grouping similar data

• Disadvantages:

  • More challenging than supervised learning due to lack of output labels

  • Potential for misleading results when data objects are very similar

Conclusion

• Summary of unsupervised learning algorithms and their applications

• Encouragement for further practice and study