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en:courses:2016-2017:ml2016 [2016/09/08 03:00]
jaggim
en:courses:2016-2017:ml2016 [2016/09/13 12:08]
ruediger
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 |Teaching Assistant |**Mohamad Dia**|Email|**mohamad.dia@epfl.ch**| |Office|[[http://​plan.epfl.ch/?​room=INR140|INR 140]]| |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=xxxx|xxxx]]|+|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=xxxx|xxxx]]|+|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=xxxxx|xxxx]]|+|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=xxxx|xxxx]]|+|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=xxxx|xxxx]]+|Teaching Assistant |**Benoît Seguin**|Email|**benoit.seguin@epfl.ch**| |Office|[[http://​plan.epfl.ch/?​room=INN140|INN 140]]|
-| | | +
-|Student Assistant |**Arnaud Miribel**|Email|**arnaud.miribel@epfl.ch**|+
 | | | | | |
 |Student Assistant |**Frederik Kunstner**|Email|**frederik.kunstner@epfl.ch**| |Student Assistant |**Frederik Kunstner**|Email|**frederik.kunstner@epfl.ch**|
-| | | 
-|Student Assistant |**Vidit Vidit**|Email|**vidit.vidit@epfl.ch**| 
 | | | | | |
 |Student Assistant |**Fayez Lahoud**|Email|**fayez.lahoud@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]])| |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]])| |        |**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,​INJ218,​INM11,​INM202]])|+|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| |**Language**:​| ​ |English|
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   * Practicals: Labs and Projects will be in **Python** this year.   * 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.   * 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.
 +  * For exercises please go to the following rooms: INF119 (A-E); INJ218 (F-M); INM11 (N-Q); INM202 (R-Z)
   * 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]]).   * 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 ==== ==== Detailed Schedule ====
-^ Date ^ Topics Covered ​^ Reading Assignment ​^ Exercises ​ ^ Solutions ​+(tentative, subject to changes) 
-| 20/9| what what what | what +^ Date ^ Topics Covered ^ Exercises ​ ^ Projects ​
-| 22/9| what | what what what +| 20/9 | Introduction ​| | | 
-| 27/9 | what what what | what +| 22/9 | Linear Regression ​Lab 1 | | 
-| 29/9 | what what what | what +| 27/9 | Cost Functions ​| | | 
-| 04/10 | what what what | what +| 29/9 | Optimization ​Lab 2 | | 
-| 06/10 | what | what what what +| 04/10 | Least Squares, ill-conditioning ​| | | 
-| 11/10 | what what what | what +| 06/10 | Maximum Likelihood, Overfitting ​Lab 3 | | 
-| 13/10 | what what what | what +| 11/10 | Cross-Validation ​| | | 
-| 18/10 | what | what what what+| 13/10 | Bias-Variance decomposition ​Lab 4 | | 
-| 20/10 | what what what | what+| 18/10 | Classification ​| | | 
-| 25/10 | what what what | what +| 20/10 | Logistic Regression ​Lab 5 | | 
-| 27/10 | what what what | what +| 25/10 | Generalized Linear Models ​| | | 
-| 01/11 | what what what | what +| 27/10 | k-Nearest Neighbor ​Lab 6 | | 
-| 03/11 | what what what | what +| 01/11 | Support Vector Machines ​| | Proj. 1 due 31.10. ​
-| 08/11 | what what what | what +| 03/11 | Kernel Regression ​Lab 7 | | 
-| 10/11 | what what what | what +| 08/11 | Unsupervised Learning ​| | | 
-| 15/11 | what | what what what +| 10/11 | k-Means ​Lab 8 | | 
-| 17/11 | what what what | what +| 15/11 | Gaussian Mixture Models ​| | | 
-| 22/11 | what what what | what +| 17/11 | EM algorithm ​Lab 9 | | 
-| 24/11 | what what | what what +| 22/11 | Matrix Factorizations ​| | | 
-| 29/11 | what what what | what +| 24/11 | Recommender Systems ​Lab 10 | | 
-| 01/12 | what what | what what +| 29/11 | SVD and PCA | | | 
-| 06/12 | what what what | what +| 01/12 | SVD and PCA Lab 11 | | 
-| 08/12 | what what | what what +| 06/12 | Neural Networks ​| | | 
-| 13/12 | what what what | what +| 08/12 | Multi-Layer Perceptron ​Lab 12 | | 
-| 15/12 | what what | what what +| 13/12 | Neural Networks, CNNs | | | 
-| 20/12 | what what what | what +| 15/12 | Decision Trees, Random Forests ​Lab 13 | | 
-| 22/12 | what what what what | +| 20/12 | BayesNet and Belief Propagation ​| | | 
-==== Textbook ====+| 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//

Last modified:: %2016/%09/%13 %22:%Sep