Osnutek odseka

  • Mining Massive Data Sets 2026

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    Orodja za analizo velikih podatkovnih baz

    Obravnavali bomo algoritme podatkovnega rudarjenja in strojnega učenja za analizo zelo velikih količin podatkov. Predmet se izvaja vzporedno s predmetom Mining massive data sets na Stanford University (prof. Jure Leskovec). Običajno poteka od prve polovice januarja do sredine marca.

    Mining massive data sets

    The course will discuss data mining and machine learning algorithms for analyzing very large amounts of data.

    Topics include:

    MapReduce and Spark; Frequent Itemsets and Association Rules; Locality-Sensitive Hashing; Clustering; Dimensionality reduction; Recommender Systems; Link Analysis: PageRank & Extensions); Community Detection in Graphs; Learning Embeddings; Graph Representation Learning; Graph Neural Networks; Large-Scale Supervised Machine Learning; Mining Data Streams; Computational Advertising; Optimizing Submodular Functions; Multi-Armed Bandits

    Assignments and grading:

    • 4 homework assignments requiring coding and theory (40%)
    • Final exam (30%)
    • Weekly Colab notebooks (30%)

    Useful links:

    All deadlines at FRI are exactly the same as Stanford deadlines.

  • Videos

    Video lectures from the current course:

  • Colab notebooks

    Submit Colab notebooks here; every week no later than Friday 9 am.

    Your submission should contain a ZIP file:

    • Jupyter notebook in HTML format (download the jupyter notebook file and then use the command "jupyter nbconvert --to html <file_name.ipynb>" in the command prompt).
    • A text file with answers to the questions (the submission page will always contain a document with questions). 

    Each file should use the following naming convention:

    colab<number>_<name>_<surname>.html
    colab<number>_<name>_<surname>.txt

    • Colab 0 Naloga

      Please pay attention to the questions in the attached PDF - they are a part of Colab 0 notebook!

      Rok za oddajo je podaljšan: torek, 20. januar 2026, 09.00

    • Colab 1 Naloga

      Please pay attention to the questions in the attached PDF - they are a part of Colab 1 notebook!

      Rok za oddajo je podaljšan: torek, 20. januar 2026, 09.00