Core topics by TOP-IX:

• Programming with Python (data structures, control flow, functions, …)
• Setting up and usage of Jupyter Notebooks for data projects
• Key statistics concepts with NumPy
• Handling different data formats with pandas
• Using Matplotlib and Seaborn for data visualizations
• Basic Machine Learning with Scikit Learn
• Fundamental steps to create your data science project and maximize its impact

Guest lectures:

• GIS and Geopandas by FBK
• Timeseries and KNIME by Target Research

Core topics by ISI:

• Machine Learning algorithms with Sklearn
• Statistical Learning Theory with practical exercises
• Neural Networks and Backpropagation
• Building from scratch and training neural networks with TensorFlow and Keras
• Brief history of Deep Learning, with focus on Computer Vision
• Building from scratch and training deep convolutional NNs with TensorFlow and Keras
• Transfer Learning: feature extraction and fine-tuning

Guest lectures:

• Machine Learning Explainability by Nexi
• Training Deep Learning Models and HPC4AI by Unito
• Machine Learning in forecasting by Glovo