DS2 Data Science & Digital Society
Generative Adversarial Networks for Time Series
Basic calculations Vectors and matrices Data frames and data IO Plotting
Descriptive Techniques Principal Component Analysis
Introduction to the foundations of Data Science with focus on business applications. We emphasize supervised machine learning..
Introduction to word embeddings methods: word2vec, GloVe, and BERT.
KDE and ill-posed problems
Introduction to the Computer Museum
All about clustering!
Day-ahead electricity price prediction