Machine Learning Courses

Courses

Courses on machine learning

http://homepages.inf.ed.ac.uk/rbf/IAPR/researchers/MLPAGES/mlcourses.htm

CSC2535 – Spring 2013 Advanced Machine Learning(by Hinton, University of Toronto)

http://www.cs.toronto.edu/~hinton/csc2535/

CMU: Probabilistic Graphical Models(by Eric Xing)

• homepage: http://www.cs.cmu.edu/~epxing/Class/10708/
• lecture: http://www.cs.cmu.edu/~epxing/Class/10708-14/lecture.html

Stanford CME 323: Distributed Algorithms and Optimization

http://stanford.edu/~rezab/dao/

CMU Convex Optimization: Fall 2015

http://www.stat.cmu.edu/~ryantibs/convexopt/

University at Buffalo CSE574: Machine Learning and Probabilistic Graphical Models Course

http://www.cedar.buffalo.edu/~srihari/CSE574/

Stanford CS229: Machine Learning Autumn 2015(by Andrew Ng)

• homepage: http://cs229.stanford.edu/
• projects-page: http://cs229.stanford.edu/projects2015.html

Stanford / Winter 2014-2015 CS229T/STATS231: Statistical Learning Theory(by Percy Liang)

• homepage: http://web.stanford.edu/class/cs229t/
• Lecture Notes: http://web.stanford.edu/class/cs229t/notes.pdf

CMU Fall 2015 10-715: Advanced Introduction to Machine Learning(by Alex Smola, Barnabas Poczos)

• homepage: http://www.cs.cmu.edu/~bapoczos/Classes/ML10715_2015Fall/
• videos: http://pan.baidu.com/s/1qWvcsUS

2015 Machine Learning Summer School: Convex Optimization Short Course(by S. Boyd and S. Diamond)

• Lecture slides and IPython notebooks: https://stanford.edu/~boyd/papers/cvx_short_course.html

STA 4273H (Winter 2015): Large Scale Machine Learning

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/
• course materials: https://www.cs.ox.ac.uk/people/nando.defreitas/machinelearning/
• lectures: http://pan.baidu.com/s/1bndbxJh#path=%252FDeep%2520Learning%2520Lectures
• github: https://github.com/oxford-cs-ml-2015/

Computer Science 294: Practical Machine Learning (Fall 2009) (by Michael Jordan)

• homepage: https://www.cs.berkeley.edu/~jordan/courses/294-fall09/

Statistics, Probability and Machine Learning Short Course

• homepage: http://www-staff.it.uts.edu.au/~ydxu/statistics.htm
• youku: http://i.youku.com/u/UMzIzNDgxNTg5Ng
• youbube: https://www.youtube.com/playlist?list=PLFze15KrfxbF0n1zTNoFIaDpxnSyfgNgc

Statistical Learning

https://lagunita.stanford.edu/courses/HumanitiesScience/StatLearning/Winter2014/about

Machine learning courses online

http://fastml.com/machine-learning-courses-online/

Build Intelligent Applications: Master machine learning fundamentals in five hands-on courses (Coursera)

https://www.coursera.org/specializations/machine-learning

Machine Learning

http://www.cs.ubc.ca/~nando/540-2013/lectures.html

Princeton Computer Science 598D: Overcoming Intractability in Machine Learning

http://www.cs.princeton.edu/courses/archive/spring15/cos598D/

Princeton Computer Science 511: Theoretical Machine Learning (by Rob Schapire)

http://www.cs.princeton.edu/courses/archive/spring14/cos511/schedule.html

MACHINE LEARNING FOR MUSICIANS AND ARTISTS

https://www.kadenze.com/courses/machine-learning-for-musicians-and-artists/info

CMSC 726: Machine Learning

• homepage: http://www.cbcb.umd.edu/~hcorrada/PML/index.html

MIT: 9.520: Statistical Learning Theory and Applications, Fall 2015

http://www.mit.edu/~9.520/fall15/