徐亦达machine-learning-notes-master

  包含了悉尼科技大学徐亦达老师的课程课件，有贝叶斯理论、EM算法、卡尔曼滤波、HMM、粒子滤波、概率论相关知识等(The file includes knowledge about EM, HMM, particle filter, kalman filter and so on.)

machine-learning-notes-master, 0 , 2018-12-17
machine-learning-notes-master\.ipynb_checkpoints, 0 , 2018-12-17
machine-learning-notes-master\.ipynb_checkpoints\industry_master_class-checkpoint.ipynb, 397574 , 2018-12-17
machine-learning-notes-master\30_min_AI.pptx, 23850197 , 2018-12-17
machine-learning-notes-master\AI_and_machine_learning.pdf, 26079223 , 2018-12-17
machine-learning-notes-master\DeeCamp2018_Xu_final.pptx, 3609670 , 2018-12-17
machine-learning-notes-master\README.md, 14259 , 2018-12-17
machine-learning-notes-master\bayesian.pdf, 194373 , 2018-12-17
machine-learning-notes-master\cnn_beyond.pdf, 5768711 , 2018-12-17
machine-learning-notes-master\data_analytics.pdf, 234173 , 2018-12-17
machine-learning-notes-master\deeCamp.pdf, 1511661 , 2018-12-17
machine-learning-notes-master\deep_nlp.pdf, 2451275 , 2018-12-17
machine-learning-notes-master\dimension_reduction.pdf, 191710 , 2018-12-17
machine-learning-notes-master\dpp.pdf, 341506 , 2018-12-17
machine-learning-notes-master\dqn.pdf, 761540 , 2018-12-17
machine-learning-notes-master\dynamic_model.pdf, 573234 , 2018-12-17
machine-learning-notes-master\em.pdf, 620657 , 2018-12-17
machine-learning-notes-master\files, 0 , 2018-12-17
machine-learning-notes-master\files\index.txt, 1 , 2018-12-17
machine-learning-notes-master\industry_master_class.ipynb, 397574 , 2018-12-17
machine-learning-notes-master\introduction_monte_carlo.pdf, 280729 , 2018-12-17
machine-learning-notes-master\markov_chain_monte_carlo.pdf, 420166 , 2018-12-17
machine-learning-notes-master\neural_networks.pdf, 214958 , 2018-12-17
machine-learning-notes-master\non_parametrics.pdf, 430299 , 2018-12-17
machine-learning-notes-master\non_parametrics_extensions.pdf, 208186 , 2018-12-17
machine-learning-notes-master\optimization.pdf, 448999 , 2018-12-17
machine-learning-notes-master\particle_filter.pdf, 306711 , 2018-12-17
machine-learning-notes-master\probability.pdf, 311242 , 2018-12-17
machine-learning-notes-master\rbm_gan.pdf, 302287 , 2018-12-17
machine-learning-notes-master\recommendation.pdf, 630499 , 2018-12-17
machine-learning-notes-master\regression.pdf, 438860 , 2018-12-17
machine-learning-notes-master\selected_probability.pdf, 1011148 , 2018-12-17
machine-learning-notes-master\statistics.pdf, 160908 , 2018-12-17
machine-learning-notes-master\stochastic_matrices.pdf, 296053 , 2018-12-17
machine-learning-notes-master\variational.pdf, 623710 , 2018-12-17
machine-learning-notes-master\word_vector.pdf, 513826 , 2018-12-17