文件列表:

LICENSE.txt (1083, 2013-01-30)
ex1/ (0, 2013-01-30)
ex1/computeCost.m (676, 2013-01-30)
ex1/computeCostMulti.m (704, 2013-01-30)
ex1/ex1.m (3438, 2013-01-30)
ex1/ex1.pdf (493361, 2013-01-30)
ex1/ex1_multi.m (4578, 2013-01-30)
ex1/ex1data1.txt (1359, 2013-01-30)
ex1/ex1data2.txt (657, 2013-01-30)
ex1/featureNormalize.m (1247, 2013-01-30)
ex1/gradientDescent.m (1245, 2013-01-30)
ex1/gradientDescentMulti.m (1009, 2013-01-30)
ex1/normalEqn.m (670, 2013-01-30)
ex1/plotData.m (978, 2013-01-30)
ex1/submit.m (17322, 2013-01-30)
ex1/submitWeb.m (827, 2013-01-30)
ex1/warmUpExercise.m (520, 2013-01-30)
ex2/ (0, 2013-01-30)
ex2/costFunction.m (1014, 2013-01-30)
ex2/costFunctionReg.m (1137, 2013-01-30)
ex2/ex2.m (3722, 2013-01-30)
ex2/ex2.pdf (237160, 2013-01-30)
ex2/ex2_reg.m (2973, 2013-01-30)
ex2/ex2data1.txt (3775, 2013-01-30)
ex2/ex2data2.txt (2233, 2013-01-30)
ex2/mapFeature.m (508, 2013-01-30)
ex2/plotData.m (713, 2013-01-30)
ex2/plotDecisionBoundary.m (1451, 2013-01-30)
ex2/predict.m (752, 2013-01-30)
ex2/sigmoid.m (448, 2013-01-30)
ex2/submit.m (17091, 2013-01-30)
ex2/submitWeb.m (827, 2013-01-30)
ex3/ (0, 2013-01-30)
ex3/displayData.m (1502, 2013-01-30)
ex3/ex3.m (2108, 2013-01-30)
ex3/ex3.pdf (295520, 2013-01-30)
ex3/ex3_nn.m (2637, 2013-01-30)
ex3/ex3data1.mat (7511764, 2013-01-30)
ex3/ex3weights.mat (79592, 2013-01-30)
... ...

#Description These are the solutions to the programming exercises of Andrew Ng's machine learning course on https://www.coursera.org/course/ml The description of and hints for the exercises can be found in the pdf files in each folder. Please respect the class's Honor Code (below) and refer to LICENSE.txt if you want to use the source code in this repository. ##Honor Code >"We strongly encourage students to form study groups, and discuss the lecture videos (including in-video questions). We also encourage you to get together with friends to watch the videos together as a group. However, the answers that you submit for the review questions should be your own work. For the programming exercises, you are welcome to discuss them with other students, discuss specific algorithms, properties of algorithms, etc.; we ask only that you not look at any source code written by a different student, nor show your solution code to other students." ##License This code is under the MIT License. Refer to LICENSE.txt for explicit description.

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