Curso de Signal processing and machine learning for big data
In this track you will get the right skills to fulfill the rising demand for analytics professionals and scientists in a broad range of industrial sectors. The track program has been designed to provide the scientific foundations and major technological challenges for extracting knowledge from the increasing number of real-world signals, such as speech, images, movies, music, biological and sensor readings, financial series, etc. as well as data provided by current and future communication systems.
Fundamental courses on statistical analysis, time series analysis and optimization methods, will provide the background for machine learning courses (predictive and descriptive learning, reinforcement learning and biologically-inspired models), and courses on signal processing techniques for large-scale data and massive processing of images and video
Practical activities will provide you hands-on experience approaching real use-cases in several application areas and industries such as large-scale media analytics, smart cities, ubiquitous wireless sensor networks, financial trading, environmental monitoring, robotics systems, etc.
Time Series Analysis
Optimization techniques for big data analysis
Predictive and Descriptive Learning
Machine Learning Lab
Data Science Foundations and Applications
Signal Processing for Big Data
Big Data for Image and Video Signals
Large-scale Media Analytics
Requisitos: graduados, licenciados o titulados en ingeniería, matemáticas, estadística o similares.