Hello and welcome!
We are three researchers and PhD students at the University of Politécnica de Madrid. We are passionate about Artificial Intelligence and its applications in engineering.
I’m Javier Capell, an Aeronautical Engineer. My research involves computational methods, specifically computational fluid dynamics. As part of my PhD, I leveraged deep learning to develop turbulence models and help us understand such complex physics.
I am Antonio Medina, a Naval Architect. I am an experienced experimentalist, having conducted several experimental campaigns on floating systems that involve extensive data analysis. Using that data, I applied recurrent neural networks to predict the response of offshore wind turbines. This methodology enables the building of ultra-rapid models with very high accuracy.
Hi, I’m Andrés Pastor, also a Naval Architect. I work extensively with Python developing some libraries for structural analysis. I also developed a digital twin of an offshore wind turbine that uses machine learning models for prediction and simulation. It enables data-driven decisions for engineers.
Together, we bring you this comprehensive Machine Learning course designed to take you from fundamentals to advanced neural networks.
What will you learn?
- Introduction to AI, Machine Learning, and Deep Learning, why it’s booming, and how it applies to engineering.
- Key machine learning concepts: data handling, models, evaluation, and optimization.
- Core algorithms: linear regression, logistic regression, decision trees, K-nearest neighbors, and support vector machines, each with real-world applications.
- Deep Learning fundamentals: how neural networks learn; you’ll even build one from scratch.
- Implementation with PyTorch: data preprocessing, model training, evaluation, and optimization.
- Advanced architecture: convolutional neural networks (CNNs) and recurrent neural networks (RNNs).
- Practical insights and coding tips based on our hands-on experience working with large datasets and complex models.
Finally, a custom project where you will apply everything you’ve learned to either the ShipD dataset from MIT or any other dataset of your choice.
Artificial Intelligence is revolutionizing engineering. We are excited to share our knowledge and guide you through this journey to unlock the power of AI.
Welcome aboard!