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Author:HCAIM Consortium

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HBO/WO

MBO

September 1, 2023

Practical: Presenting statistical data

Understand and demonstrate the data representation for AI and ML modelling. Apply a range of plotting techniques to visualise data. Be able to check for fairness, handle outliers and missing data.

Document

HCAIM Consortium

August 23, 2023

Tutorial: ML-Ops

Getting familiar with containerisation Learning TFX Serving Ability to apply serving Locally and on Azure Container Instances

Website

HCAIM Consortium

August 23, 2023

Practical: Practice with XAI models 2

Gain experience in implementation of SHAP-model. Gain experience in implementation of LIME-model. Experience differences (in outcomes) of SHAP vs. LIME Reflect on Human-centered application of XAI. Experiment with differences in datasets to understand different outcomes of SHAP/LIME (bonus).

Website

HCAIM Consortium

August 23, 2023

Practical: Risk & Risk mitigation

Learner gets practical experience with risk frameworks Learner gets hands-on experience with relevant standards.

Website

HCAIM Consortium

August 23, 2023

Practical: Hadoop-based technologies

To know the fundamentals of Map Reduce programming paradigm To know how to setup Hadoop Framework To know how to apply the Map Reduce functionalities To know how to program in Python with library of Map Reduce

Website

HCAIM Consortium

August 23, 2023

Lecture: Regularization

Examine Weight initializers Investigate bias Apply dropout and noise Impliment callbacks Undertsand and implement a gridsearch Apply non traditional overfitting techniques

Website

HCAIM Consortium

August 23, 2023

Lecture: Recurrent Neural Networks

Learning the fundamentals of Recurrent Neural Networks (RNN), Backpropagation Trough Time (BPTT) and Long Short-Term Memory (LSTM)

Website

HCAIM Consortium

August 23, 2023

Lecture: Hyperparameter tuning

Investigate effects on capacity and depth Experient with varying epochs and batch sizes Trial different activation functions and learning rates

Website

HCAIM Consortium

August 23, 2023

Interactive session: Data architecture

To know the basic data architectures in Machine Learning Pose questions about the most suited data architectures

Website

HCAIM Consortium

August 23, 2023

Practical: ML-Ops Lifecycle

Understanding MLOPs end-to-end Understanding Data Ingestion Getting familiar with Algorithm Development Getting familiar with Model Development and Deployment Understanding Continuous Monitoring

Website

HCAIM Consortium