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| - | ==== Machine Learning ==== | + | ===== Machine Learning ===== |
| + | |||
| + | (a.k.a. Pattern Classification and Machine Learning)\\ | ||
| + | previous year's website: [[http://icapeople.epfl.ch/mekhan/pcml15.html]] | ||
| + | |||
| + | |||
| + | \\ | ||
| + | |Instructor|**Martin Jaggi**| | ||
| + | |Office|[[http://plan.epfl.ch/?room=INJ339|INJ 339]]| | ||
| + | |Phone|**+41 21 69 37059**| | ||
| + | |Email|**martin.jaggi@epfl.ch**| | ||
| + | |Office Hours|**By appointment**| | ||
| + | | | | | ||
| + | |Instructor|**Ruediger Urbanke**| | ||
| + | |Office|[[http://plan.epfl.ch/?room=INR116|INR 116]]| | ||
| + | |Phone|**+41 21 69 37692**| | ||
| + | |Email|**ruediger.urbanke@epfl.ch**| | ||
| + | |Office Hours|**By appointment**| | ||
| + | \\ | ||
| + | | | | | | ||
| + | |Teaching Assistant |**Mohamad Dia**|Email|**mohamad.dia@epfl.ch**| |Office|[[http://plan.epfl.ch/?room=INR140|INR 140]]| | ||
| + | | | | | ||
| + | |Teaching Assistant |**Ksenia Konyushkova**|Email|**ksenia.konyushkova@epfl.ch**| |Office|[[http://plan.epfl.ch/?room=BC304|BC304]]| | ||
| + | | | | | ||
| + | |Teaching Assistant |**Victor Kristof**|Email|**victor.kristof@epfl.ch**| |Office|[[http://plan.epfl.ch/?room=BC204|BC204]]| | ||
| + | | | | | ||
| + | |Teaching Assistant |**Taylor Newton**|Email|**taylor.newton@epfl.ch**| |Office|[[http://plan.epfl.ch/?room=B1%205%20284.045|B1 Geneva]]| | ||
| + | | | | | ||
| + | |Teaching Assistant |**Farnood Salehi**|Email|**farnood.salehi@epfl.ch**| |Office|[[http://plan.epfl.ch/?room=BC250|BC250]]| | ||
| + | | | | | ||
| + | |Teaching Assistant |**Benoît Seguin**|Email|**benoit.seguin@epfl.ch**| |Office|[[http://plan.epfl.ch/?room=INN140|INN 140]]| | ||
| + | | | | | ||
| + | |Student Assistant |**Frederik Kunstner**|Email|**frederik.kunstner@epfl.ch**| | ||
| + | | | | | ||
| + | |Student Assistant |**Fayez Lahoud**|Email|**fayez.lahoud@epfl.ch**| | ||
| + | | | | | ||
| + | |Student Assistant |**Tao Lin**|Email|**tao.lin@epfl.ch**| | ||
| + | | | | | ||
| + | |Student Assistant |**Arnaud Miribel**|Email|**arnaud.miribel@epfl.ch**| | ||
| + | | | | | ||
| + | |Student Assistant |**Vidit Vidit**|Email|**vidit.vidit@epfl.ch**| | ||
| + | \\ | ||
| + | |||
| + | |Lectures|**Tuesday** |**8:15 - 10:00** (Room: [[http://plan.epfl.ch/?lang=en&room=CE%201|CE1]])| | ||
| + | | |**Thursday** |**8:15 - 10:00** (Room: [[http://plan.epfl.ch/?lang=en&room=CE%204|CE4]])| | ||
| + | |Exercises|**Thursday** |**14:15 - 16:00** (Room: [[http://plan.epfl.ch/?lang=en&room=INF%20119|INF119]],[[http://plan.epfl.ch/?lang=en&room=INJ218|INJ218]],[[http://plan.epfl.ch/?lang=en&room=INM11|INM11]],[[http://plan.epfl.ch/?lang=en&room=INM202|INM202]])| | ||
| + | \\ | ||
| + | |**Language**:| |English| | ||
| + | |**Credits **:| |7 ECTS| | ||
| + | \\ | ||
| + | |||
| + | See the course [[http://edu.epfl.ch/coursebook/en/pattern-classification-and-machine-learning-CS-433|information]]. | ||
| + | ==== Special Announcements ==== | ||
| + | * Practicals: Labs and Projects will be in **Python** this year. | ||
| + | * Projects: There will be two group projects during the course. Project 1 counts 10% and is due Oct 31st. Project 2 counts 30% and is due Dec 22nd. | ||
| + | * Please make sure that you have registered for the course on [[http://is-academia.epfl.ch/|IS-Academia]]. We will provide the PDF lecture notes here and also on [[http://nb.mit.edu|Nota Bene]] so you can comment & discuss them (see [[http://vimeo.com/7370219|here]]). | ||
| + | |||
| + | ==== Detailed Schedule ==== | ||
| + | (tentative, subject to changes) | ||
| + | ^ Date ^ Topics Covered ^ Exercises ^ Projects ^ | ||
| + | | 20/9 | Introduction | | | | ||
| + | | 22/9 | Linear Regression | Lab 1 | | | ||
| + | | 27/9 | Cost Functions | | | | ||
| + | | 29/9 | Optimization | Lab 2 | | | ||
| + | | 04/10 | Least Squares, ill-conditioning | | | | ||
| + | | 06/10 | Maximum Likelihood, Overfitting | Lab 3 | | | ||
| + | | 11/10 | Cross-Validation | | | | ||
| + | | 13/10 | Bias-Variance decomposition | Lab 4 | | | ||
| + | | 18/10 | Classification | | | | ||
| + | | 20/10 | Logistic Regression | Lab 5 | | | ||
| + | | 25/10 | Generalized Linear Models | | | | ||
| + | | 27/10 | k-Nearest Neighbor | Lab 6 | | | ||
| + | | 01/11 | Support Vector Machines | | Proj. 1 due 31.10. | | ||
| + | | 03/11 | Kernel Regression | Lab 7 | | | ||
| + | | 08/11 | Unsupervised Learning | | | | ||
| + | | 10/11 | k-Means | Lab 8 | | | ||
| + | | 15/11 | Gaussian Mixture Models | | | | ||
| + | | 17/11 | EM algorithm | Lab 9 | | | ||
| + | | 22/11 | Matrix Factorizations | | | | ||
| + | | 24/11 | Recommender Systems | Lab 10 | | | ||
| + | | 29/11 | SVD and PCA | | | | ||
| + | | 01/12 | SVD and PCA | Lab 11 | | | ||
| + | | 06/12 | Neural Networks | | | | ||
| + | | 08/12 | Multi-Layer Perceptron | Lab 12 | | | ||
| + | | 13/12 | Neural Networks, CNNs | | | | ||
| + | | 15/12 | Decision Trees, Random Forests | Lab 13 | | | ||
| + | | 20/12 | BayesNet and Belief Propagation | | | | ||
| + | | 22/12 | Gaussian Processes | Lab 14 | Project 2 due | | ||
| + | |||
| + | ==== Textbook ==== | ||
| + | Christopher Bishop, //Pattern Recognition and Machine Learning// \\ | ||
| + | Kevin Murphy, //Machine Learning: A Probabilistic Perspective// \\ | ||
| + | Shai Shalev-Shwartz, Shai Ben-David, //Understanding Machine Learning// | ||