Specialization in Machine Learning

Machine Learning has emerged as a key factor in unraveling complex patterns and making informed decisions. This specialization in Machine Learning will allow you to understand the foundations and applications of this technology. Explore the classification of automatic learning algorithms and discern between automatic learning and deep learning are crucial steps on this route. In addition, entering data structure extraction through clustering algorithms and recommendation systems offers powerful tools to understand and take advantage of the information contained in large data sets. Knowing these aspects is essential for those who seek to make the most of the avalanche of data available today.

- Understand the essential principles of Machine Learning and its types of algorithms. - Identify data extraction techniques in data and clustering. - Dominate recommendation systems and its implementation in real projects. - Develop skills for effective data classification. - Acquire deep knowledge about neuronal networks and Deep Learning. - Implement neuronal networks in Python using keras and tensorflow. - Apply learning strategies to train and evaluate Machine Learning models.

With this specialization in Machine Learning, you can exercise as a data scientist, Machine Learning engineer, predictive models developer and specialist in recommendation systems. In addition, you can enter technological, financial, health industries, among others, applying Machine Learning to optimize processes and generate business value.

This specialization in Machine Learning prepares you to face Machine Learning projects. Through the deep understanding of advanced algorithms and techniques, you can design recommendation and classification systems, allowing informed decision making. At the end, you will be trained to apply Machine Learning and Deep Learning in various industries, contributing to innovative solutions and digital transformation.

This specialization in Machine Learning is designed for professionals and students with a real interest in artificial intelligence, Machine Learning, Data Science and Programming. It is ideal for engineers, data analysts, data scientists and developers who wish to deepen Machine Learning and explore the practical applications of Deep Learning.