Upper University Course in Machine Learning (University degree + 8 ECTS credits)

In the information age, data analysis has become a fundamental strategic tool for organizations. Exponential growth in the amount of data generated has created a prevailing need to extract valuable knowledge of these vast sets of information. In this context, automatic learning, also known as Machine Learning, has emerged as a powerful and efficient approach to the discovery of patterns, decision making and the generation of precise predictions. Thanks to this Machine Learning course you can acquire a deep understanding of the key processes and techniques necessary to carry out sophisticated data analysis. In addition, you will have a team of professionals specialized in the field.

- Understand the basic concepts of data mining and automatic learning. - Assimilate the KDD process and data mining techniques. - Explore applications and the impact of automatic learning in various areas. - Differentiate between the different algorithms and automatic learning approaches. - Develop skills in clustering and recommendation systems. - Dominate the use of neuronal networks and Deep Learning for data analysis tasks. - Apply learning strategies and training of deep neuronal networks.

After completing this Machine Learning course, you will be prepared to access various job exits in the field of data analysis and artificial intelligence. You can work as a data scientist, Machine Learning engineer, data analyst or consultant in companies from different sectors, such as technology, finance, marketing and health.

This Machine Learning course prepares you to use Machine Learning techniques in the extraction of knowledge from large volumes of data. You will learn to apply automatic learning algorithms for classification, clustering and recommendation systems. In addition, you will acquire skills in neuronal networks and Deep Learning, which will allow you to address more complex tasks of analysis and prediction.

This Machine Learning course is designed for professionals and students interested in acquiring skills in the field of automatic learning. It is also suitable for those who wish to expand their knowledge in data mining and explore the potential of data analysis in different contexts. Prior programming knowledge is not required.

This training is not included in the scope of official regulated training (Infant Education, Primary Education, Secondary Education, Official Professional Training FP, Baccalaureate, University Degree, Official University Master and PhD). It is therefore a complementary and/or specialization training, aimed at acquiring certain skills, skills or aptitudes of a professional nature, being able to be barely as merit in workbags and/or opposition competitions, always within the complementary training section and/or continuous training being always essential to review the specific requirements of the public labor stock of the public labor stock market.