Tom Mitchell - Machine Learning - 2012
Tom Mitchell,CMU

Tom Mitchell - Machine Learning (110 files)
Course Project Guidelines.docx 31.87kB
homework/homework4_code.zip 63.68kB
additional notes/additional notes for ch8.pdf 125.38kB
19_SSL_EoML.pdf 138.32kB
additional notes/additional notes for ch7.pdf 154.62kB
additional notes/additional notes for ch5.pdf 155.73kB
19_colt98_final.ps 161.88kB
additional notes/additional notes for ch2.pdf 163.48kB
additional notes/additional notes for ch9.pdf 166.79kB
homework/homework1.pdf 169.35kB
homework/homework3.pdf 170.32kB
recitation/r01_math_decision_trees.pdf 170.38kB
16_perceptron-notes.pdf 173.54kB
homework/homework4.pdf 176.56kB
08_sc-2015.pdf 181.04kB
homework/homework2.pdf 182.59kB
homework/homework3_sol.pdf 183.95kB
additional notes/additional notes for ch3.pdf 185.07kB
18_cs229-notes3.pdf 193.34kB
07_NBayesLogReg.pdf 193.56kB
15_schapire02boosting_schapire.pdf 199.55kB
homework/homework1_sol.pdf 210.40kB
homework/homework7.pdf 213.36kB
homework/homework6.pdf 213.46kB
20_al-survey-enc-algos.pdf 217.98kB
homework/homework5.pdf 220.43kB
Combining Labeled and Unlabeled Data with Co-Trainingy.pdf 222.40kB
19_joachims_99c.pdf 222.69kB
homework/homework7_sol.pdf 236.15kB
homework/homework2_sol.pdf 238.89kB
26_privacy_4-22-2015.pdf 242.70kB
additional notes/additional notes for ch6.pdf 255.41kB
20_twoface.pdf 271.70kB
homework/homework6_sol.pdf 280.20kB
07_Joint_MLE_MAP.pdf 306.39kB
15_nips-tutorial.pdf 353.56kB
homework/homework4_sol.pdf 378.67kB
additional notes/additional notes for ch1.pdf 382.17kB
additional notes/additional notes for ch4.pdf 413.87kB
21_cluster-chapter.pdf 452.47kB
Lecture15FinalPart1.pdf 490.14kB
16_boosting-percepton-margins_03-18-2015.pdf 535.58kB
17_margins-kernels_03-23-2015.pdf 557.58kB
01.Course Introduction.pdf 651.81kB
10_Theory3_2-16-2015.pdf 721.05kB
09_Theory2_2-11-2015.pdf 779.18kB
homework/hw3_code.tar 826.88kB
08_Theory_2-9-2015.pdf 875.74kB
25_rl_4-20-2015.pdf 892.65kB
13_PAC-learning2_3-1-2011-ann.pdf 895.98kB
15_PAC-learning2_3-1-2011-ann.pdf 895.98kB
18_svm-ssl_03-25-2015.pdf 897.85kB
15_boosting_3-16-2015.pdf 903.34kB
02.Decision Tree Learning.pdf 922.04kB
12_GrMod1_2-23-2015-ann.pdf 1.04MB
recitation/r04_regression.pptx 1.16MB
04_NBayes-1-26-2015-ann.pdf 1.17MB
22_pca-04-09-2015.pdf 1.35MB
11_GrMod1_2-18-2015-ann.pdf 1.41MB
20_al_4-1-2015.pdf 1.44MB
15_PAC-learning1-2-24-2011-ann.pdf 1.51MB
13_PAC-learning1-2-24-2011-ann.pdf 1.51MB
02_Overfitting_ProbReview-1-14-2015_ann.pdf 1.58MB
03_MLE_MAP_NBayes-1-21-2015_ann.pdf 1.58MB
21_clustering_4-6-2015.pdf 1.62MB
19_ssl_03-30-2015.pdf 1.67MB
07_GenDiscr2_2-4-2015-ann.pdf 1.74MB
25_NNets-701-3_24_2011_ann.pdf 1.82MB
cotrain-tsvms-pca.pdf 1.82MB
20_settles.activelearning.pdf 1.94MB
05_GNB_1-28-2015-ann.pdf 2.43MB
13_GrMod3_2-25-2015-ann.pdf 2.66MB
14_GrMod4_3-4-2015-ann.pdf 2.78MB
13_pac learning 03_ann.pdf 2.86MB
15_PAC-learning1-10-11-2012_ANN.pdf 2.86MB
06_GenDiscr_LR_2-2-2015-ann.pdf 3.20MB
04_NBayes-1-26-2015.pptx.pdf 3.91MB
01_DTreesAndOverfitting-1-12-2015.pdf 5.54MB
23_nell_4-13-2015.pdf 5.87MB
26_deep_4-22-2015.pdf 7.06MB
24_nn_4-15-2015.pdf 12.41MB
26_deep_4-22-2015.mp4 108.90MB
13_pac learning 03.mp4 127.35MB
13_pac learning 02.mp4 135.15MB
13_pac learning 01.mp4 157.38MB
02_Overfitting_ProbReview.mp4 197.71MB
18_cs229-notes3.mp4 198.51MB
15_boosting_3-16-2015.mp4 199.07MB
16_boosting-percepton-margins_03-18-2015.mp4 199.63MB
12_GrMod1_2-23-2015-ann.mp4 200.52MB
22_pca-04-09-2015.mp4 202.99MB
09_Theory2_2-11-2015.mp4 203.79MB
08_Theory_2-9-2015.mp4 204.06MB
21_clustering_4-6-2015.mp4 204.33MB
11_GrMod1.mp4 204.55MB
07_GenDiscr2.mp4 206.54MB
19_ssl_03-30-2015.mp4 207.23MB
25_rl_4-20-2015.mp4 210.03MB
10_Theory3_2-16-2015.mp4 210.90MB
17_margins-kernels_03-23-2015.mp4 211.51MB
01.Course Introduction.mp4 213.16MB
20_al_4-1-2015.mp4 213.76MB
05_GNB_1.mp4 215.63MB
03_MLE_MAP_NBayes.mp4 215.97MB
13_GrMod3_2-25-2015-ann.mp4 216.97MB
04_NBayes.mp4 217.23MB
23_nell_4-13-2015.mp4 220.79MB
24_nn_4-15-2015.mp4 221.00MB
14_GrMod4_3-4-2015-ann.mp4 222.40MB
06_GenDiscr_LR_.mp4 223.87MB
Type: Course
Tags:machine learning, Tom Mitchell

Bibtex:
@article{,
title= {Tom Mitchell - Machine Learning  - 2012},
keywords= {machine learning, Tom Mitchell},
journal= {},
author= {Tom Mitchell,CMU},
year= {},
url= {http://www.cs.cmu.edu/~tom/10601_fall2012/lectures.shtml},
license= {},
abstract= {http://www.cs.cmu.edu/~tom/10601_fall2012/lectures.shtml},
superseded= {},
terms= {}
}


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