awsk1994/Machine-Learning-Coursera-Course

Notes for a Coursera Course, Machine learning, by Andrew Ng

Machine-Learning-Coursera-Course-

Notes for a Coursera Course, Machine learning, by Andrew Ng.

Notes

Week 1

• Introduction to Machine Learning

  • What is Machine Learning?
  • Supervised vs Unsupervised Learning
  • Quiz

• Linear Regression with One Variable

  • Modal and Cost Function
  • Gradient Descent
  • Quiz

Week 2

• Linear Regression with Multiple Variables
  • Multivariate Linear Regression
  • Computing Parameters Analytically
• Normal Equation
  • Normal Equation & Implementation

Week 3

• Classification And Representation
• Logistic Regression Model
• Solving The Problem of Overfitting

Week 4

• Motivations
• Neural Networks
• Applications

Week 5

• Cost Function and Back Propagation
• Back Propagation in Practice

Week 6

• Evaluation a Learnign Algorithm
• Bias vs Variance
• Building a Spam Classifier
• Handling Skewed Data
• Using Large Data Sets

Week 7

• Large Margin Classification
• Kernels
• Using an SVM

Week 8

• Clustering
• Motivation
• Principal Component Analysis
• Applying PCA

Week 9

• Density Estimation
• Building An Anomaly Detection System
• Predicting Movie Ratings
• Collaborative Filtering
• Low Rank Matrix Factorization