Machine Learning

Topics

• Introduction
• Linear Regression with One Variable
• Linear Algebra Review
• Linear Regression with Multiple Variables
• Octave Tutorial
• Logistic Regression
• Regularization
• Neural Networks: Representation
• Neural Networks: Learning
• Advice for Applying Machine Learning
• Machine Learning System Design
• Support Vector Machines
• Clustering
• Dimensionality Reduction
• Anomaly Detection
• Recommender Systems
• Large Scale Machine Learning
• Application Example: Photo OCR
• Conclusion

Online resources

• Advanced machine learning lectures on YouTube by Andrew Ng
• Recommended machine learning resources by Coursera
• Wolfram Alpha for plotting and understanding math functions
• MLlib tutorials at Amp Camp
• Talk on MLlib by Ameet Talwalkar