machine-learning-coursera
Coursera machine learning course resources.
Text book:
Bayesian Reasoning and Machine Learning http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/090310.pdf
Video lectures:
https://class.coursera.org/ml/lecture/preview
Schedule:
Week 1 - Due 01/06:
X Introduction X Linear regression with one variable X Linear Algebra review (Optional)
Week 2 - Due 01/13:
X Linear regression with multiple variables
- Octave tutorial
- Programming Exercise 1: Linear Regression
Week 3 - Due 01/20:
- Logistic regression
- Regularization
- Programming Exercise 2: Logistic Regression
Week 4 - Due 01/27:
- Neural Networks: Representation
- Programming Exercise 3: Multi-class Classification and Neural Networks
Week 5 - Due 02/03:
- Neural Networks: Learning
- Programming Exercise 4: Neural Networks Learning
Week 6 - Due 02/10:
- Advice for applying machine learning
- Machine learning system design
- Programming Exercise 5: Regularized Linear Regression and Bias v.s. Variance
Week 7 - Due 02/17:
- Support vector machines
- Programming Exercise 6: Support Vector Machines
Week 8 - Due 02/24:
- Clustering
- Dimensionality reduction
- Programming Exercise 7: K-means Clustering and Principal Component Analysis
Week 9 - Due 03/03:
- Anomaly Detection
- Recommender Systems
- Programming Exercise 8: Anomaly Detection and Recommender Systems
Week 10 - Due 03/10:
- Large scale machine learning
- Application example: Photo OCR