Materials for Applied Data Science profile course INFOMDA2 *Battling the curse of dimensionality*.

This webpage contains all materials required for the Applied Data Science profile course INFOMDA2 â€˜Battling the Curse of Dimensionalityâ€™.

The materials on this website are CC-BY-4.0 licensed.

You can find the course syllabus as a web page here or as a pdf here.

Number | Title | Slides |
---|---|---|

01 | High-dimensional data | Slides |

02 | Dimension reduction I | Slides |

03 | Dimension reduction II | Slides |

04 | Clustering | Slides |

05 | Model-based Clustering | Slides, code |

06 | Deep learning | Slides |

07 | Time series | Slides |

08 | Text mining | Slides |

09 | Natural language processing | Slides |

Number | Title | Practical | Answers |
---|---|---|---|

01 | High-dimensional data | Practical | Answers |

02 | Dimension reduction I | Practical | Answers |

03 | Dimension reduction II | Practical | Answers |

04 | Clustering | Practical | Answers |

05 | Model-based Clustering | Practical | Answers |

06 | Deep learning | Practical | Answers |

07 | Time series | Practical | Answers |

08 | Text mining | Practical | Answers |

09 | Natural language processing | Practical | Answers |

Number | Title | Deadline | Link |
---|---|---|---|

01 | Partial least squares | 01-12-2022 @ 11:00 | Assignment |

02 | Comparing cluster methods | 19-01-2023 @ 11:00 | Assignment |

The exam will take place on Friday, February 2nd, from 14:00 to 16.00. Those with extra time have 30 additional minutes. The location is KBG - PANGEA.

The exam is open book. You may use all materials you have, including lecture slides, notes, code and books. However, no communication with others is allowed, whatsoever. You are expected to take the exam individually. The use of ChatGPT and other large language models to help answer questions is forbidden.

Some example questions can be found here.

The resit will take place on TBD date, from 14:00 to 16:00. Those with extra time have 30 additional minutes. The location is TBD.

The exam is open book. You may use all materials you have, including lecture slides, notes, code and books. However, no communication with others is allowed, whatsoever. You are expected to take the exam individually. The use of ChatGPT and other large language models to help answer questions is forbidden.