ELBA_Dushanbe

Section outline

• Izberi poglavje Splošno

  Splošno

  Skrči vse Razširi vse

  • Izberi aktivnost Announcements

    

    Announcements Forum
  • Izberi aktivnost Discussion

    

    Discussion Forum
  • Izberi aktivnost Label

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  • Izberi aktivnost Re-training program (tentative)

    

    Re-training program (tentative) Datoteka
  • Izberi aktivnost Re-training agenda (tentative)

    

    Re-training agenda (tentative) Datoteka
  • Izberi aktivnost Label (copy)

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  • Izberi aktivnost Teachers of this re-training (from UP): Assist. p...

    Teachers of this re-training (from UP):

    Assist. prof. Branko Kavšek, Ph.D. Assistant Professor in Computer Science at The Faculty of Mathematics, Natural Sciences and Information Technologies (UP FAMNIT) – University of Primorska in Koper and Researcher at the Artificial Intelligence Laboratory (AI LAB) – “Jožef Stefan” Institute in Ljubljana.
    His research includes machine learning, data mining, association rules, graphs, time series and data analysis in general. He closely collaborates with researchers from the Artificial Intelligence Laboratory and the Department of Information Sciences and Technologies.
    He teaches courses Formal Languages and Computability, Introduction to Machine Learning and Data Mining, and Intelligent Systems to both undergraduate and master’s students at the university where he is the coordinator of the undergraduate study program Computer Science and vice head of the Department of Information Sciences and Technologies.

    Assoc. prof. Jernej Vičič, Ph.D. Associate Professor in Computer Science at The Faculty of Mathematics, Natural Sciences and Information Technologies (UP FAMNIT) – University of Primorska, and Senior Researcher at the Research Centre of the Slovenian Academy of Sciences and Arts. He received Ph.D. in Computer Science at the University of Ljubljana, Faculty of Computer Science and Informatics with the thesis "A Fast Implementation of Rules-Based Machine Translation Systems for Similar Natural Languages" in August 2012.
    He is the head of the Blockchain and Language Technologies Lab at UP FAMNIT.
    His major research interests involve language technologies in general, specifically, he focuses on the field of Natural Language Translation and Distributed Ledger Technologies.
    Among his major achievements in the presented fields (apart from his Ph.D. thesis) is the machine translation system for the related languages: Slovenian – Croatian based on the open-source Apertium translation system toolkit. Jernej is one of the developers of the Apertium toolkit.

• Izberi poglavje Before starting - software requirements & instalation

  Before starting - software requirements & instalation

  • Izberi aktivnost Install the WEKA Data Mining Toolbox on your machi...

    Install the WEKA Data Mining Toolbox on your machine. You may find the installation instructions here:
    https://waikato.github.io/weka-wiki/downloading_weka/#developer-version
    (we will be using the Developer Version of WEKA - version 3.9.6).

• Izberi poglavje The data, ETL, visualization

  The data, ETL, visualization

  • Izberi aktivnost Data repositories++: UCI ML: https://archive.ics....

    Data repositories++:

    UCI ML: https://archive.ics.uci.edu/ml/index.php
    Kaggle: https://www.kaggle.com/
    OpenML: https://www.openml.org/
    FigShare: https://figshare.com/

  • Izberi aktivnost Slides and short quizzes:

    Slides and short quizzes:

  • Izberi aktivnost The CRISP-DM standard

    

    The CRISP-DM standard Datoteka
  • Izberi aktivnost What have I learned?

    

    What have I learned? Kviz
  • Izberi aktivnost Input concepts

    

    Input concepts Datoteka
  • Izberi aktivnost What have I learned?

    

    What have I learned? Kviz
  • Izberi aktivnost Visualization

    

    Visualization Datoteka
  • Izberi aktivnost What have I learned?

    

    What have I learned? Kviz
  • Izberi aktivnost Introduction to statistics

    

    Introduction to statistics Datoteka
  • Izberi aktivnost What have I learned?

    

    What have I learned? Kviz
  • Izberi aktivnost Data preparation

    

    Data preparation Datoteka
  • Izberi aktivnost What have I learned?

    

    What have I learned? Kviz
  • Izberi aktivnost Tutorials and hands-on exercises:

    
    Tutorials and hands-on exercises:

  • Izberi aktivnost Tutorial #1: The Iris data set -- selected formats

    

    Tutorial #1: The Iris data set -- selected formats Mapa
  • Izberi aktivnost Exercise #1: A selected UCI ML data set in ARFF format

    

    Exercise #1: A selected UCI ML data set in ARFF format Naloga
  • Izberi aktivnost Tutorial #2: EDA and data preparation

    

    Tutorial #2: EDA and data preparation Mapa
  • Izberi aktivnost Exercise #2: EDA and preparation on UCI ML Labor data set

    

    Exercise #2: EDA and preparation on UCI ML Labor data set Naloga
• Izberi poglavje Corpora

  Corpora

  • Izberi aktivnost Corpora

    

    Corpora Datoteka
  • Izberi aktivnost POS tagging / corpus tagging

    

    POS tagging / corpus tagging Datoteka
  • Izberi aktivnost Terminology

    

    Terminology Datoteka
  • Izberi aktivnost Text mining

    

    Text mining Datoteka
  • Izberi aktivnost Sketch engine workshop

    

    Sketch engine workshop Stran
• Izberi poglavje Supervised learning - Classification

  Supervised learning - Classification

  • Izberi aktivnost Slides and short quizzes: (kopiraj)

    Slides and short quizzes:

  • Izberi aktivnost Simple classification methods

    

    Simple classification methods Datoteka
  • Izberi aktivnost What have I learned?

    

    What have I learned? Kviz
  • Izberi aktivnost Decision trees -- introduction

    

    Decision trees -- introduction Datoteka
  • Izberi aktivnost What have I learned?

    

    What have I learned? Kviz
  • Izberi aktivnost Decision trees -- the C4.5 algorithm

    

    Decision trees -- the C4.5 algorithm Datoteka
  • Izberi aktivnost What have I learned?

    

    What have I learned? Kviz
  • Izberi aktivnost Decision rules -- the covering algorithm

    

    Decision rules -- the covering algorithm Datoteka
  • Izberi aktivnost What have I learned?

    

    What have I learned? Kviz
  • Izberi aktivnost Tutorials and hands-on exercises: (kopiraj)

    
    Tutorials and hands-on exercises:

  • Izberi aktivnost Tutorial #3: Classification basics and Decision trees

    

    Tutorial #3: Classification basics and Decision trees Mapa
  • Izberi aktivnost Exercise #3: Classification algorithms -- basics

    

    Exercise #3: Classification algorithms -- basics Naloga
  • Izberi aktivnost Tutorial #4: Classification -- the C4.5 algorithm

    

    Tutorial #4: Classification -- the C4.5 algorithm Mapa
  • Izberi aktivnost Exercise #4: Using J4.8 to model sample data

    

    Exercise #4: Using J4.8 to model sample data Naloga
  • Izberi aktivnost Tutorial #5: Decision rules -- the covering algorithm

    

    Tutorial #5: Decision rules -- the covering algorithm Mapa
  • Izberi aktivnost Exercise #5: Using the PRISM algorithm to learn decision rules

    

    Exercise #5: Using the PRISM algorithm to learn decision rules Naloga
• Izberi poglavje Evaluation

  Evaluation

  • Izberi aktivnost Slides:

    Slides:

  • Izberi aktivnost Evaluation

    

    Evaluation Datoteka
  • Izberi aktivnost Tutorials and hands-on exercises: (kopiraj) (kopiraj)

    
    Tutorials and hands-on exercises:

  • Izberi aktivnost Tutorial #6: Evaluation

    

    Tutorial #6: Evaluation Mapa
  • Izberi aktivnost Exercise #6: Comparing different evaluation strategies and measures

    

    Exercise #6: Comparing different evaluation strategies and measures Naloga
• Izberi poglavje Miscellaneous - Regression & KNN

  Miscellaneous - Regression & KNN

  Poudarjeno

  • Izberi aktivnost Slides: (kopiraj)

    Slides:

  • Izberi aktivnost Regression and nearest neighbors

    

    Regression and nearest neighbors Datoteka
  • Izberi aktivnost Tutorials and hands-on exercises: (kopiraj) (kopiraj) (kopiraj)

    
    Tutorials and hands-on exercises:

  • Izberi aktivnost Tutorial #7: Regression and nearest neighbors

    

    Tutorial #7: Regression and nearest neighbors Mapa
  • Izberi aktivnost Exercise #7: Linear regression, the kNN algorithm

    

    Exercise #7: Linear regression, the kNN algorithm Naloga