Diploma in Machine Learning

Thanks to this diploma in Machine Learning you will have a solid introduction to this discipline. We will explore the Machine Learning as Central Pilar in the informed decision making, such as the classification of users in social networks or the detection of diseases in medical images, among other things. You will learn to use automatic learning algorithms, classification, clustering, recommendation systems and deep neural networks. In addition, it provides the opportunity to explore popular tools and libraries such as Python, keras and tensorflow to implement practical solutions so you will not only acquire theoretical knowledge.

- Understand the foundations of Machine Learning and its applications. - Identify and differentiate various automatic learning algorithms. - Explore practical examples of Machine Learning applications. - Discern between Machine Learning and Deep Learning, understanding their differences and similarities. - Dominate the implementation of recommendation and clustering systems. - Develop data classification skills and appropriate algorithms selection. - Learn to build and train deep neural networks using python, keras and tensorflow.

At the end of this diploma in Machine Learning you will be prepared to perform in this area and you can opt for different jobs such as data analysis, Machine Learning engineering, systems development, consulting in Machine Learning projects, research in artificial intelligence, automation and process optimization.

This diploma in Machine Learning prepares you to understand and apply Machine Learning in a variety of contexts. You will learn to develop recommendation systems, classify data and build deep neural networks. At the end of the course, you will be ready to address Machine Learning projects in the health, marketing, finance or research industry, among many other sectors.

This diploma in Machine Learning is aimed at computer professionals, data analysts, engineers and also for anyone interested in entering the world of Machine Learning. Previous knowledge is not required, since it starts from the most basic to the most advanced.