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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]]). | ||
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| ==== Textbook ==== | ==== Textbook ==== | ||
| - | Christopher Bishop, Pattern Recognition and Machine Learning \\ | + | Christopher Bishop, //Pattern Recognition and Machine Learning// \\ |
| - | Kevin Murphy, Machine Learning: A Probabilistic Perspective \\ | + | Kevin Murphy, //Machine Learning: A Probabilistic Perspective// \\ |
| - | Shai Shalev-Shwartz, Understanding Machine Learning | + | Shai Shalev-Shwartz, Shai Ben-David, //Understanding Machine Learning// |