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Expand Collapse General Realçat
  • Ankündigungen
Expand Collapse General Information Realçat
  • What is the Course About?The aim of this course is...
  • Learning outcomesUpon successful completion of the...
Expand Collapse Organizational matters Realçat
  • Language of the Course The lectures will be partia...
Expand Collapse Part 1: Introduction to Data Science for Humanities Realçat
  • Lecture content: What is data science, and why sho...
  • Notebook: Python-Basics (HTML-Version)
  • Kick-off slides
Expand Collapse Part 2: (Re-)introduction to Python Realçat
  • Lecture content: Basic programming paradigms (OOP,...
  • Exercise 1: Python basics
  • Notebook: Basics 2 (HTML-Version)
Expand Collapse Part 3: Data modeling for data science Realçat
  • Lecture content: Vectorization of data -- texts an...
  • Exercise: Numpy and Bag-of-words model
  • Notebook: Numpy (HTML-Version)
  • Solution: Bag-of-words
  • Solution: Python basics
Expand Collapse Part 4: Data Acquisition and Preparation Realçat
  • Lecture content: Data collection and data acquisit...
  • Notebook: Acquistion and Preprocessing (HTML-Version)
  • Dataset: Olympics
Expand Collapse Part 5: Explorative Analysis 1 – Descriptive Analysis and visualization Realçat
  • Lecture content: Descriptive statistics: univariat...
  • Notebook: Descriptive Statistics (HTML-Version)
  • Notebook: Deep-dive into Seaborn (HTML-Version)
  • Homework: Gather a dataset.
Expand Collapse Part 6: Explorative Analysis 2 – Clustering and distance functions Realçat
  • Lecture content: Basics of vector spaces (in a pra...
  • Notebook: Clustering and Distance Functions (HTML)
  • Notebook: Clustering and distance function (.ipynb)
Expand Collapse Part 7: Predictive Analysis (A Gentle Introduction to Machine Learning) Realçat
  • Lecture content: Basics concepts of (predictive) l...
  • Notebook: Classification (.ipynb)
  • Data: reviews_train.csv
  • Data: reviews_text.csv
  • Text Classification and Clustering: Slides
Expand Collapse Part 8: Text and Language I (Computational Linguistics) Realçat
  • Lecture content: Corpus linguistics: frequency dis...
  • Notebook: Text Processing
  • Slides: Lexical Semantics
  • Slides: Text Representations
  • Slides: Information Extraction
  • Data: Unlabeled Reviews
Expand Collapse Part 9: Text and Language II (Natural Language Processing) Realçat
  • Lecture content: Language modeling and distributio...
Expand Collapse Part 10: Guest lecture Realçat
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Kursinformationen

 Kursbeschreibung

Beschreiben Sie kurz und prägnant, worum es in diesem Kurs geht.

 Lehrende

Tim Hegemann
BK
Boris Klemz
MS
Marie Sieper
SW
Samuel Wolf
Alexander Wolff

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WS24: Seminar Algorithmik

Section Name Description
Vorträge File Einführungsfolien (15.10.2024)
File Folien-Template (pdf)
File Folien-Template (xml)

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