The Professional Master’s Degree Computer Vision of TECH prepares qualified experts to introduce Deep Learning and enhance the possibilities offered by artificial intelligence
Concept of Machine Learning is one of the most popular related to artificial intelligence, however, there is a discipline called Deep Learning that sets basic parameters about the data and trains the computer to learn on its own by recognizing patterns using many layers of processing. In this way, the Professional Master’s Degree Computer Vision educates experts to handle deep learning techniques in charge of classifying, recognizing, detecting, and understanding.
The change in thinking with Deep Learning is a shift from feature engineering to feature representation, that is, it generates predictive systems that generalize and adapt well, continuously improve as new data comes in, and are more dynamic than predictive systems based on strict business rules, so it does not need to adjust a model and is trained to solve the problem itself.
Some popular current uses for it include voice and image recognition, recommender systems, and natural language processing. This supplies a fantastic opportunity to introduce more dynamic behaviour to analytics, improve accuracy and performance in applications where neural networks have been used for a long time, and algorithmic improvements to deep learning methods.
Professional Master’s Degree Computer Vision
TECH Technological University has designed this program considering that machine learning and artificial intelligence are constantly evolving and has multiple applications in medical and scientific research, data analysis, and the development of machines, ware, and robots. Therefore, being an expanding field, it is of vital importance that companies focus their efforts on these technological demands and have specialized professionals.
Considering the above, this has mutated and has given way to new specific approaches, such is the case of artificial vision, which handles analysing how machines process the visual information they receive and how this can be used to improve their relationship with the environment and collect data effectively. In other words, this is closely related to machine learning, which is why computer scientists are needed who can supply the best technological solutions in the development of these projects.
Thus, the contents addressed in this program have been designed so that students could delve into aspects such as machine vision for the study of space and content analysis, convolutional networks, image classification, deep learning, applications, object detection, digital image processing and segmentation, advanced computer vision techniques, among others.
Re-Learning method
The Professional Master’s Degree Computer Vision of TECH is developed entirely online. During the 12 months of training, the student has access to the program’s contents at any time and from any device, allowing them to self-manage the study time with maximum flexibility and adapt to each student’s schedule.
It has its own learning method, ‘Re-Learning’, based on asynchrony and self-management. The contents are presented in an attractive and dynamic way in multimedia capsules that include audio, videos, images, diagrams, and conceptual maps to corroborate knowledge.
TECH Technological University
TECH Technological University, the world’s largest university, is also the official online university of the NBA (National Basketball Association) in Latin America. It belongs to the TECH educational group, a Spanish-owned multinational recognized by the Financial Times as one of the 200 fastest-growing companies in Europe. The company, founded and directed by Manuel Sánchez-Cascado de Fuentes, has also been considered the most highly valued Spanish technology company in the last 15 years.
Thanks to its fully digital learning system, it supplies training to students from anywhere in the world. An international trajectory has allowed it to become a benchmark in distance learning, with a catalogue of over 10,000 programs, over 100,000 new students each year, and 500,000 graduates from over 150 countries.
Specialized highly qualified postgraduate programs, they offer their students the best training programs at an international level, being leaders in employability with 99% of their students working in the first twelve months, according to data from the consulting firm KPMG.
