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Machine Learning
Coursera · Andrew Ng
Supervised Machine Learning
A foundational machine learning course covering supervised learning — regression and classification models, and how to evaluate whether a model is actually working.
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What I Learned
- Core supervised learning techniques: regression and classification
- How to evaluate and reason about a trained model's performance
- The fundamentals that underpin most applied machine learning work
Key Topics
RegressionClassificationModel EvaluationFeature-Based Prediction
How It Supports My Growth
This is the theoretical backbone behind the classification and detection work in my computer vision projects — the fundamentals here show up directly in how I think about model design.