Real Time Ingestion and Analysis of data with MongoDB and Python Teacher: Alessandro Molina — AXANT Nowadays more and more data is generated by companies and software products, especially in the IoT world records are saved with a throughput of thousands per second. That requires solutions able to scale writes...

Data Analysis with Spark Streaming Teacher: Nicolò Bidotti — AgileLab Big Data analysis is a hot trend and one of its major roles is to give new value to enterprise data. However data and information lose value as they become old, so it is important in a lot of contexts...

Excursus: Agent-based modelling and synthetic populations Teachers: Sarah Wolf, Andreas Geiges — Global Climate Forum To understand possible transitions of complex systems (like e.g.societies, markets, systems of socio-technical co-evolution) pure data analysis might not be sufficient because such transitions often imply substantial shifts that can hardly be described by pure...

Data Citizenship and NetScience: technology for data-culture Teachers: Salvatore Iaconesi, Oriana Persico — Human Ecosystems Relazioni We constantly generate data, whether we realize it or not, whether we want it or not, and a very limited number of subjects has access to all of this data. This is a very...

Data matching and deduplication with Python Teacher: Simone Marzola — Oval Money In the era of multi-tiered big-data infrastructures, data is commonly spread in multiple datasources and duplicates are everywhere. As a data scientist you’ll need to focus on consolidation of data to improve the data quality and build comprehensive...

Data Visualization using the open source KNOWAGE suite Teachers: Isabella Iennaco, Paolo Raineri — KNOWAGE (Engineering S.p.A) Business analytics lecture on a real KNOWAGE use case of predictive maintenance with an Open Source full stack! The lecture is an interesting journey around KNOWAGE data visualization and data discovery capabilities and...

Machine Learning and Deep Learning for Computer Vision Teachers: Andrè Panisson, Alan Perotti — ISI Foundation This in-depth part of the course allows to build an appealing and diversified Machine Learning portfolio. It starts with a Machine Learning introduction and application with Scikit-learn, and continues with Neural Networks and backpropagation...

Voice Recognition models in DeepSpeech and Common Voice Teacher: Alexandre Lissy — Mozilla DeepSpeech is an open source Speech-To-Text engine, using model trained by machine learning techniques, based on Baidu’s Deep Speech research paper. You will learn how the model works, and how this was implemented using TensorFlow. The workshop...

From local to glocal using community data Teacher: Maurizio Napolitano — Fondazione Bruno Kessler The workshop starts with an introduction to the GIS world, the geospatial protocols and the available geodata resources. It continues diving in the OpenStreetMap ecosystem where we explore how it can be used as a...