research:mlfbook
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- ch1_introduction.pdf
- 2022/02/07 20:15
- 3.2 MB
- ch2_mathematical_foundation.pdf
- 2022/02/07 20:16
- 8.2 MB
- ch3_supervised_machine_learning.pdf
- 2022/02/07 20:16
- 248.7 KB
- ch4_feature_extraction.pdf
- 2022/02/07 20:17
- 4.7 MB
- ch5_statistical_learning_theory.pdf
- 2022/02/07 20:17
- 843.9 KB
- ch6_linear_models.pdf
- 2022/02/07 20:17
- 1.7 MB
- ch7_learning_discriminative_models.pdf
- 2022/02/07 20:18
- 3.4 MB
- ch8_neural_networks.pdf
- 2022/02/07 20:18
- 9 MB
- ch9_ensemble_learning.pdf
- 2022/02/07 20:18
- 1.9 MB
- ch10_overview_generative_models.pdf
- 2022/02/07 20:19
- 1.2 MB
- ch11_unimodal_models.pdf
- 2022/02/07 20:19
- 1.2 MB
- ch12_mixture_models.pdf
- 2022/02/07 20:19
- 3.4 MB
- ch13_entangled_models.pdf
- 2022/02/07 20:20
- 2.5 MB
- ch14_bayesian_learning.pdf
- 2022/02/07 20:20
- 2.9 MB
- ch15_graphical_models.pdf
- 2022/02/07 20:20
- 4.4 MB
- detailedcontents.pdf
- 2021/06/17 00:02
- 2.8 MB
- mlb-book-cover-small.jpg
- 395×500
- 2021/06/17 02:13
- 44.8 KB
- mlf-bookcover.png
- 1640×2070
- 2021/06/16 23:36
- 3.6 MB
- mlf-jiang.bib
- 2021/06/16 23:50
- 153 B
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research/mlfbook.txt · Last modified: by huijiang