Master Thesis Project
Stockholm, Sweden
Machine learning and Natural Language processing for data mining in biomedical/pharma texts experiments► Preprocessing and cleaning of complex and noisy data► Search for new algorithms and the latest advancement in NLP► Machine Learning, Deep learning, Python 3, data handling (NumPy, Pandas, SciPy)► Unsupervised learning: Word embeddings, Seq2Seq models and state-of-the-art language models with Attention (ELMo, BERT)► Visualization and dimensionality reduction - ACP, T-SNE, UMAP, Libraries (Matplotlib, Bokeh, Plotly, Searborn)