Artificial Intelligence - Deep learning, Machine Learning
·Just some Python knowledge and a Gmail account for using Google Colab.
·A laptop able to run docker containers will be required.
Nature of the training
Dogs, cats, flowers... the true beauty of computer vision is that this field is really pleasant to transmit. With just a couple of pictures I can explain advanced concepts even to my grandmother: this rectangle? Yes, my program says that there is a cat inside. No need to read giant logs or interpret equations to understand the business.
There are three main tasks in computer vision: Image Classification (aka Labelling), Object Detection and Semantic Segmentation. Dominating these will allow you to deal with the most of computer vision problems you will face. This full-day course will show you how to tackle them with Python and Keras.
And there will be a bonus module covering a very helpful topic nowadays. Do you want to know what is it?
Big Data Spain will issue the certificate for this course to prove subject matter competency
Developers with some Machine Learning interesting or Data Scientist who wants to learn Deep Learning and Computer Vision
Bio of the instructor - Ricardo Guerrero
Ricardo Guerrero is a Telecommunication Engineer by the Universidad de Alcalá with a huge passion for Computer Vision, Machine Learning and Self-Driving Cars.
He joined the Research Lab team in BBVA Next Technologies (previously known as BEEVA) more than 2 years ago. GPUs, Computer Vision and Deep Learning where his focus. Now, as one of the leaders of the Data Lab department takes care of the internal community, trainings and best practices while fighting fraud in banking using cutting-edge Cloud Computing architectures, XGBoost and PyTorch.
Bio of the instructor - Jose Alberto Arcos Sánchez
Jose Alberto is a very geek Industrial Engineer with focus on Data Analytics with R and Python.
Since his arrival to BBVA Next Technologies has been specialized in Time Series and Model Interpretability. As one of the leaders of the Data Lab department takes care of commercial opportunities and technological strategy.