Knowhow
- Maschinelles Lernen & Deep Learning: Klassifizierung, Prognosen, Clustering, Recommendations, Neuronale Netze, Convolutional Neural Networks (CNN), Recurrent Neural Networks (LSTM), Variational Autoencoder (VA), Support Vector Machine (SVM)
- Tools und Frameworks: Keras, PyTorch, Tensorflow, Caffe2, scikit-learn, Pandas, NumPy, Dask
- Coding: Python, Java, C#, JavaScript
- Datenbanken: PostgreSQL (PostGIS), Elasticsearch, Neo4j, IBM Domino, MySQL, Redis
- Webservices: REST, GraphQL, Django REST Framework, Flask
- Webentwicklung: HTML5, CSS, Angular, Vue.js
