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Introduction to Machine Learning & Applications

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Lesson 5 of 21
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Types of Machine Learning Machine Learning Algorithms Machine Learning 

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  1. I have successfully learned about machine learning, including its different types and practical applications. Specifically, I’ve gained knowledge on:

    1. Supervised learning
    2. Unsupervised learning
    3. Reinforcement learning

    I’ve also learned how to choose the best model solution.

    In supervised learning, I’ve studied:

    1. Classification: predicting categorical labels
    2. Regression: predicting continuous values

    In unsupervised learning, I’ve learned about:

    1. Clustering: grouping similar data points based on patterns
    2. Association: identifying relationships between data points

    Unsupervised learning uses unlabeled data, allowing the machine to identify patterns and group similar data points together through clustering or associate data points based on relationships.