一些学习网站 刺骨的言语ヽ痛彻心扉 2021-11-16 05:24 323阅读 0赞 cs229 机器学习 吴恩达 \[[http://cs229.stanford.edu/syllabus.html][http_cs229.stanford.edu_syllabus.html]\] 台大 李宏毅 机器学习 \[[http://speech.ee.ntu.edu.tw/~tlkagk/courses.html][http_speech.ee.ntu.edu.tw_tlkagk_courses.html]\] 爱丁堡大学 机器学习与模式识别 \[[http://www.inf.ed.ac.uk/teaching/courses/mlpr/2017/notes/][http_www.inf.ed.ac.uk_teaching_courses_mlpr_2017_notes]\] Courses on machine learning \[[http://homepages.inf.ed.ac.uk/rbf/IAPR/researchers/MLPAGES/mlcourses.htmhttp://homepages.inf.ed.ac.uk/rbf/IAPR/researchers/MLPAGES/mlcourses.htm][http_homepages.inf.ed.ac.uk_rbf_IAPR_researchers_MLPAGES_mlcourses.htmhttp_homepages.inf.ed.ac.uk_rbf_IAPR_researchers_MLPAGES_mlcourses.htm]\]\[\] CSC2535 – Spring 2013 Advanced Machine Learning instructor: by Hinton, University of Toronto homepage: \[[http://www.cs.toronto.edu/][http_www.cs.toronto.edu]hinton/csc2535/[http://www.cs.toronto.edu/][http_www.cs.toronto.edu]hinton/csc2535/\]\[\] Stanford CME 323: Distributed Algorithms and Optimization \[[http://stanford.edu/][http_stanford.edu]rezab/dao/[http://stanford.edu/][http_stanford.edu]rezab/dao/\]\[\] University at Buffalo CSE574: Machine Learning and Probabilistic Graphical Models Course \[[http://www.cedar.buffalo.edu/][http_www.cedar.buffalo.edu]srihari/CSE574/[http://www.cedar.buffalo.edu/][http_www.cedar.buffalo.edu]srihari/CSE574/\]\[\] Stanford CS229: Machine Learning Autumn 2015 instructor: Andrew Ng homepage: \[[http://cs229.stanford.edu/http://cs229.stanford.edu/][http_cs229.stanford.edu_http_cs229.stanford.edu]\]\[\] project page: \[[http://cs229.stanford.edu/projects2015.htmlhttp://cs229.stanford.edu/projects2015.html][http_cs229.stanford.edu_projects2015.htmlhttp_cs229.stanford.edu_projects2015.html]\]\[\] Stanford / Winter 2014-2015 CS229T/STATS231: Statistical Learning Theory instructor: Percy Liang homepage: \[[http://web.stanford.edu/class/cs229t/http://web.stanford.edu/class/cs229t/][http_web.stanford.edu_class_cs229t_http_web.stanford.edu_class_cs229t]\]\[\] lecture notes: \[[http://web.stanford.edu/class/cs229t/notes.pdfhttp://web.stanford.edu/class/cs229t/notes.pdf][http_web.stanford.edu_class_cs229t_notes.pdfhttp_web.stanford.edu_class_cs229t_notes.pdf]\]\[\] CMU Fall 2015 10-715: Advanced Introduction to Machine Learning instructor: Alex Smola, Barnabas Poczos homepage: \[[http://www.cs.cmu.edu/][http_www.cs.cmu.edu]bapoczos/Classes/ML10715\_2015Fall/[http://www.cs.cmu.edu/][http_www.cs.cmu.edu]bapoczos/Classes/ML10715\_2015Fall/\]\[\] video: \[[http://pan.baidu.com/s/1qWvcsUShttp://pan.baidu.com/s/1qWvcsUS][http_pan.baidu.com_s_1qWvcsUShttp_pan.baidu.com_s_1qWvcsUS]\]\[\] 2015 Machine Learning Summer School: Convex Optimization Short Course instructor: S. Boyd and S. Diamond Lecture slides and IPython notebooks: \[[https://stanford.edu/][https_stanford.edu]boyd/papers/cvx\_short\_course.htmlhttps://stanford.edu/boyd/papers/cvx\_short\_course.html\]\[\] STA 4273H \[Winter 2015\]: Large Scale Machine Learning \[[http://www.cs.toronto.edu/][http_www.cs.toronto.edu]rsalakhu/STA4273\_2015/[http://www.cs.toronto.edu/][http_www.cs.toronto.edu]rsalakhu/STA4273\_2015/\]\[\] University of Oxford: Machine Learning: 2014-2015 homepage: \[[https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/][https_www.cs.ox.ac.uk_people_nando.defreitas_machinelearning_https_www.cs.ox.ac.uk_people_nando.defreitas_machinelearning]\]\[\] course materials: \[[https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/][https_www.cs.ox.ac.uk_people_nando.defreitas_machinelearning_https_www.cs.ox.ac.uk_people_nando.defreitas_machinelearning]\]\[\] lectures: \[[http://pan.baidu.com/s/1bndbxJh\#path=%2FDeep%20Learning%20Lectureshttp://pan.baidu.com/s/1bndbxJh\#path=%2FDeep%20Learning%20Lectures][http_pan.baidu.com_s_1bndbxJh_path_2FDeep_20Learning_20Lectureshttp_pan.baidu.com_s_1bndbxJh_path_2FDeep_20Learning_20Lectures]\]\[\] github: \[[https://github.com/oxford-cs-ml-2015/https://github.com/oxford-cs-ml-2015/][https_github.com_oxford-cs-ml-2015_https_github.com_oxford-cs-ml-2015]\]\[\] Computer Science 294: Practical Machine Learning \[Fall 2009\] instructor: Michael Jordan homepage: \[[https://www.cs.berkeley.edu/][https_www.cs.berkeley.edu]jordan/courses/294-fall09/[https://www.cs.berkeley.edu/][https_www.cs.berkeley.edu]jordan/courses/294-fall09/\]\[\] Statistics, Probability and Machine Learning Short Course homepage: \[[http://www-staff.it.uts.edu.au/][http_www-staff.it.uts.edu.au]ydxu/statistics.htmhttp://www-staff.it.uts.edu.au/ydxu/statistics.htm\]\[\] youku: \[[http://i.youku.com/u/UMzIzNDgxNTg5Nghttp://i.youku.com/u/UMzIzNDgxNTg5Ng][http_i.youku.com_u_UMzIzNDgxNTg5Nghttp_i.youku.com_u_UMzIzNDgxNTg5Ng]\]\[\] youbube: \[[https://www.youtube.com/playlist?list=PLFze15KrfxbF0n1zTNoFIaDpxnSyfgNgc][https_www.youtube.com_playlist_list_PLFze15KrfxbF0n1zTNoFIaDpxnSyfgNgc]\] \[[https://www.youtube.com/playlist?list=PLFze15KrfxbF0n1zTNoFIaDpxnSyfgNgc][https_www.youtube.com_playlist_list_PLFze15KrfxbF0n1zTNoFIaDpxnSyfgNgc]\] Statistical Learning \[[https://lagunita.stanford.edu/courses/HumanitiesScience/StatLearning/Winter2014/about][https_lagunita.stanford.edu_courses_HumanitiesScience_StatLearning_Winter2014_about]\] \[[https://lagunita.stanford.edu/courses/HumanitiesScience/StatLearning/Winter2014/about][https_lagunita.stanford.edu_courses_HumanitiesScience_StatLearning_Winter2014_about]\] Machine learning courses online \[[http://fastml.com/machine-learning-courses-online/http://fastml.com/machine-learning-courses-online/][http_fastml.com_machine-learning-courses-online_http_fastml.com_machine-learning-courses-online]\]\[\] Build Intelligent Applications: Master machine learning fundamentals in five hands-on courses \[[https://www.coursera.org/specializations/machine-learning][https_www.coursera.org_specializations_machine-learning]\] \[[https://www.coursera.org/specializations/machine-learning][https_www.coursera.org_specializations_machine-learning]\] [http_cs229.stanford.edu_syllabus.html]: http://cs229.stanford.edu/syllabus.html [http_speech.ee.ntu.edu.tw_tlkagk_courses.html]: http://speech.ee.ntu.edu.tw/~tlkagk/courses.html [http_www.inf.ed.ac.uk_teaching_courses_mlpr_2017_notes]: http://www.inf.ed.ac.uk/teaching/courses/mlpr/2017/notes/ [http_homepages.inf.ed.ac.uk_rbf_IAPR_researchers_MLPAGES_mlcourses.htmhttp_homepages.inf.ed.ac.uk_rbf_IAPR_researchers_MLPAGES_mlcourses.htm]: http://homepages.inf.ed.ac.uk/rbf/IAPR/researchers/MLPAGES/mlcourses.htmhttp://homepages.inf.ed.ac.uk/rbf/IAPR/researchers/MLPAGES/mlcourses.htm [http_www.cs.toronto.edu]: http://www.cs.toronto.edu/ [http_stanford.edu]: http://stanford.edu/ [http_www.cedar.buffalo.edu]: http://www.cedar.buffalo.edu/ [http_cs229.stanford.edu_http_cs229.stanford.edu]: http://cs229.stanford.edu/http://cs229.stanford.edu/ [http_cs229.stanford.edu_projects2015.htmlhttp_cs229.stanford.edu_projects2015.html]: http://cs229.stanford.edu/projects2015.htmlhttp://cs229.stanford.edu/projects2015.html [http_web.stanford.edu_class_cs229t_http_web.stanford.edu_class_cs229t]: http://web.stanford.edu/class/cs229t/http://web.stanford.edu/class/cs229t/ [http_web.stanford.edu_class_cs229t_notes.pdfhttp_web.stanford.edu_class_cs229t_notes.pdf]: http://web.stanford.edu/class/cs229t/notes.pdfhttp://web.stanford.edu/class/cs229t/notes.pdf [http_www.cs.cmu.edu]: http://www.cs.cmu.edu/ [http_pan.baidu.com_s_1qWvcsUShttp_pan.baidu.com_s_1qWvcsUS]: http://pan.baidu.com/s/1qWvcsUShttp://pan.baidu.com/s/1qWvcsUS [https_stanford.edu]: https://stanford.edu/ [https_www.cs.ox.ac.uk_people_nando.defreitas_machinelearning_https_www.cs.ox.ac.uk_people_nando.defreitas_machinelearning]: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/ [http_pan.baidu.com_s_1bndbxJh_path_2FDeep_20Learning_20Lectureshttp_pan.baidu.com_s_1bndbxJh_path_2FDeep_20Learning_20Lectures]: http://pan.baidu.com/s/1bndbxJh#path=%252FDeep%2520Learning%2520Lectureshttp://pan.baidu.com/s/1bndbxJh#path=%252FDeep%2520Learning%2520Lectures [https_github.com_oxford-cs-ml-2015_https_github.com_oxford-cs-ml-2015]: https://github.com/oxford-cs-ml-2015/https://github.com/oxford-cs-ml-2015/ [https_www.cs.berkeley.edu]: https://www.cs.berkeley.edu/ [http_www-staff.it.uts.edu.au]: http://www-staff.it.uts.edu.au/ [http_i.youku.com_u_UMzIzNDgxNTg5Nghttp_i.youku.com_u_UMzIzNDgxNTg5Ng]: http://i.youku.com/u/UMzIzNDgxNTg5Nghttp://i.youku.com/u/UMzIzNDgxNTg5Ng [https_www.youtube.com_playlist_list_PLFze15KrfxbF0n1zTNoFIaDpxnSyfgNgc]: https://www.youtube.com/playlist?list=PLFze15KrfxbF0n1zTNoFIaDpxnSyfgNgc [https_lagunita.stanford.edu_courses_HumanitiesScience_StatLearning_Winter2014_about]: https://lagunita.stanford.edu/courses/HumanitiesScience/StatLearning/Winter2014/about [http_fastml.com_machine-learning-courses-online_http_fastml.com_machine-learning-courses-online]: http://fastml.com/machine-learning-courses-online/http://fastml.com/machine-learning-courses-online/ [https_www.coursera.org_specializations_machine-learning]: https://www.coursera.org/specializations/machine-learning
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