"MATLAB" machine learning (Coursera Courses Outline & Schedule)

The course covers technology:

Gradient descent, linear regression, supervised/unsupervised learning, classification/logistic regression, regularization, neural network, gradient test/numerical calculation, model selection/diagnosis, learning curve, evaluation metric, SVM, K-means clustering, PCA, Map Reduce & Data Parallelism, etc...

The course covers applications:

Message classification, tumor diagnosis, handwriting recognition, autonomous driving, model optimization, OCR, etc...

Coursera machine Learning course materials, including problem sets and my solutions (using MATLAB).

The following are the machine learning related course materials in Coursera, including exercises and my MATLAB solution.

Github Resources (Problems & Solutions):

Https://github.com/Blz-Galaxy/Machine-Learning

Coursera Machine Learning Course Materials:

Https://class.coursera.org/ml/lecture/preview

Text Book:

Bayesian reasoning and machine learning:

Http://web4.cs.ucl.ac.uk/staff/D.Barber/textbook/090310.pdf

Video Lectures:

Https://www.coursera.org/learn/machine-learning

Schedule:

Week 1-due 07/04: DONE

• Introduction
• Linear regression with one variable
• Linear Algebra Review (Optional)

Week 2-due 07/11: DONE

• Linear regression with multiple variables
• Octave Tutorial

• Programming Exercise 1:linear Regression

  Best and Most Recent SubmissionScore100 / 100 points earned PASSEDSubmitted on 6 七月 2015 在 7:35 晚上Part    Name    Score1   Warm up exercise    10 / 102   Compute cost for one variable   40 / 403   Gradient descent for one variable   50 / 504   Feature normalization   0 / 05   Compute cost for multiple variables 0 / 06   Gradient descent for multiple variables 0 / 07   Normal equations    0 / 0

Week 3-due 07/18: DONE

• Logistic regression
• Regularization

• Programming Exercise 2:logistic Regression

  Best and Most Recent SubmissionScore100 / 100 points earned PASSEDSubmitted on 8 七月 2015 在 1:00 凌晨Part    Name    Score1   Sigmoid function    5 / 52   Compute cost for logistic regression    30 / 303   Gradient for logistic regression    30 / 304   Predict function    5 / 55   Compute cost for regularized LR 15 / 156   Gradient for regularized LR 15 / 15

Week 4-due 07/25: DONE

• Neural networks:representation

• Programming Exercise 3:multi-class Classification and neural Networks

  Best and Most Recent SubmissionScore100 / 100 points earned PASSEDSubmitted on 9 七月 2015 在 1:16 凌晨Part    Name    Score1   Regularized logistic regression 30 / 302   One-vs-all classifier training  20 / 203   One-vs-all classifier prediction    20 / 204   Neural network prediction function  30 / 30

Week 5-due 08/01: DONE

• Neural networks:learning

• Programming Exercise 4:neural Networks Learning

  Best and Most Recent SubmissionScore100 / 100 points earned PASSEDSubmitted on 9 七月 2015 在 7:25 晚上Part    Name    Score1   Feedforward and cost function   30 / 302   Regularized cost function   15 / 153   Sigmoid gradient    5 / 54   Neural net gradient function (backpropagation)  40 / 405   Regularized gradient    10 / 10

Week 6-due 08/08: DONE

• Advice for applying machine learning
• Machine Learning System Design

• Programming Exercise 5:regularized Linear Regression and Bias v.s. Variance

  Best and Most Recent SubmissionScore100 / 100 points earned PASSEDSubmitted on 11 七月 2015 在 3:28 凌晨Part    Name    Score1   Regularized linear regression cost function 25 / 252   Regularized linear regression gradient  25 / 253   Learning curve  20 / 204   Polynomial feature mapping  10 / 105   Cross validation curve  20 / 20

Week 7-due 08/15:

• Support Vector Machines
• Programming Exercise 6:support Vector machines

Week 8-due 08/22:

• Clustering
• dimensionality reduction
• Programming Exercise 7:k-means Clustering and Principal Component analysis

Week 9-due 08/29:

• Anomaly Detection
• Recommender Systems
• Programming Exercise 8:anomaly Detection and Recommender Systems

Week 10/11-due 09/05:

• Large Scale Machine Learning
• Application Example:photo OCR

"MATLAB" machine learning (Coursera Courses Outline & Schedule)