Created by Standford University.
Instructor: Andrew Ng
- Lectures Slides
- My Solutions to Programming Assignments Implemented in MATLAB
This course explicitly explained the basics of machine learning, data mining, and statistical pattern recognition.
Topics include:
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Supervised Learning: Linear Regression, Logistic Regression, Support Vector Machines (SVM), Kernels, Neural networks.
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Unsupervised Learning: Clustering, Dimensionality Reduction, Anomaly Detection, Recommender systems
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Best Practices in Machine Learning: Bias/Variance theory; Innovation Process in Machine Learning and AI.