Notebooks

This is a curated index of all available Jupyter Notebooks containing teaching materials. For a better understanding of the context of each notebook, please refer to our Educational Stories.

Course specific material can be found at the bottom of this page.

Machine Learning Fundamentals

Notebook Authors Minor Review Major Review
probability-theory/bayes-theorem Benjamin Voigt Christoph Jansen not ready
probability-theory/exercise-cookie-problem Christoph Jansen Benjamin Voigt unassigned
probability-theory/bayesian-networks-by-example Christoph Jansen Benjamin Voigt unassigned
probability-theory/exercise-d-separation Christoph Jansen Klaus Strohmenger not ready
exercise-simple-linear-regression Christian Herta, Benjamin Voigt unassigned not ready
exercise-multivariate-linear-regression Christian Herta, Klaus Strohmenger unassigned not ready
exercise-matrix-vector-operations Benjamin Voigt unassigned not ready
exercise-logistic-regression Christian Herta, Klaus Strohmenger unassigned not ready
exercise-bias-variance-tradeoff Christian Herta, Klaus Strohmenger unassigned not ready

Medical Image Classification

These notebooks are not yet available, please check back later for more materials…

Robotic Autonomous Driving

These notebooks are not yet available, please check back later for more materials…

Text Information Extraction

Notebook Authors Minor Review Major Review
data-exploration/germ-eval-2014 Christoph Jansen Benjamin Voigt unassigned
sequences/exercise-bi-gram-language-model Christoph Jansen, Christian Herta unassigned not ready

Uncategorized

Notebook Authors Minor Review Major Review
blueprint Benjamin Voigt, Christoph Jansen not applicable not applicable

Courses

HTW-Berlin - Angewandte Informatik - Advanced Topics WiSe1819 - Bayesian Learning

To run the following notebooks navigate to “educational-materials/notebooks/courses/htw-berlin/angewandte-informatik/advanced-topics” and execute the following commands:

# Create a new virtual environment for this course and install dependencies from Pipfile.lock
pipenv install
# Create an ipython kernel for the virtual environment
pipenv run ipython kernel install --user --name advanced_topics_1819_bayesian_learning
# When opening a notebook with Jupyter Lab, select advanced_topics_1819_bayesian_learning (upper right corner)
Notebook Authors Minor Review Major Review
exercise-bayes-rule Christian Herta, Klaus Strohmenger Benjamin Voigt not ready
exercise-expected-value Christian Herta, Klaus Strohmenger unassigned not ready
exercise-inverse-transform-sampling Christian Herta, Klaus Strohmenger unassigned not ready
exercise-entropy Christian Herta, Klaus Strohmenger unassigned not ready
exercise-kullback-leibler-divergence Christian Herta, Klaus Strohmenger unassigned not ready
exercise-softmax_regression-tensorflow Christian Herta, Klaus Strohmenger unassigned not ready
exercise-meaning-of-softmax-output-probability Christian Herta, Klaus Strohmenger unassigned not ready
exercise-natural-pairing Christian Herta, Klaus Strohmenger unassigned not ready
exercise-multivariate-gaussian Christian Herta, Klaus Strohmenger unassigned not ready
exercise-linear-regression-map Christian Herta, Klaus Strohmenger unassigned not ready
exercise-univariate-gaussian-basics Christian Herta, Klaus Strohmenger unassigned not ready
exercise-univariate-gaussian-likelihood Christian Herta, Klaus Strohmenger unassigned not ready
exercise-1d-gmm-em Christian Herta not ready not ready
exercise-sensorfusion-and-kalman-filter-1d Christian Herta not ready not ready
exercise-causal-reasoning-probability-tables Christian Herta, Klaus Strohmger unassigned not ready
exercise-simple-example-for-EM Christian Herta, Klaus Strohmger unassigned not ready

HTW-Berlin - Informatik und Wirtschaft - Aktuelle Trends der Informations- und Kommunikationstechnik

Notebook Authors Minor Review Major Review
linear-regression (PDF slides) Christoph Jansen Klaus Strohmenger unassigned
linear-regression-exercise Christoph Jansen Klaus Strohmenger unassigned
logistic-regression (PDF slides) Christoph Jansen Klaus Strohmenger unassigned
logistic-regression-exercise Christoph Jansen Klaus Strohmenger unassigned
evaluation (PDF slides) Christoph Jansen unassigned not ready
evaluation-exercise Christoph Jansen unassigned not ready