We will start a journey from statistics where all the fundamentals are. We then dive into the machine learning approaches (supervised, unsupervised, semi-supervised, self-supervised) Neural nets is going to be an important step before moving to more specific application like computer vision, time series, language model. Finally we end with a huge part of all the transfomer-based architecture and genAI Duration is one week (4 hours per day) with remote live presentations. There will be coding session in python too. We can discuss also to only cover specific topic of the course neglecting the others and adjust the cost proportionally. The course is intended for people who want to dive deeper into the technical aspects to better face their day-to-day activities (data scientist, IT managers, devs).

Location

ITA