Machine-Learning

When making the first steps with deep learning, we grasp the idea of using a neural network to learn a function that maps data to other data. We are often told that neural networks are a powerful tool in machine learning because of their non-linearity and their ability to learn complex functions from data, which results in minizing some loss function. In this post, we will explore how the final-layer activations are dependent on the loss function of our problem. ...

Overview Introductory workshop on Machine Learning and Deep Learning fundamentals designed for hackathon participants. The session covers core concepts, practical algorithms, and hands-on implementation using popular frameworks. Key Topics Supervised vs unsupervised learning Neural network fundamentals Common ML/DL architectures Practical tools and frameworks (scikit-learn, PyTorch, TensorFlow) Tips for rapid prototyping in hackathons Event HackEPS is the largest hackathon in Catalonia, organized by students at the University of Lleida, bringing together hundreds of participants to build innovative projects in 24 hours.