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:
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= {}
}
10 day statistics (16 downloads)
| Average Time | 26 mins, 38 secs |
| Average Speed | 3.67MB/s |
| Best Time | 17 mins, 27 secs |
| Best Speed | 5.60MB/s |
| Worst Time | 52 mins, 57 secs |
| Worst Speed | 1.85MB/s |