Summary

In this course, the basic concepts of Machine Learning are taught and applied to different domains or fields of research.

Description

You will learn to identify the potential applications that Machine Learning can have in practice. It will be defined how to approach each problem with different regression and classification strategies. The models generated will be evaluated to validate their application in real environments.

The potential of Machine Learning and the challenges it can face will be discussed. And all this, with a practical part after each lesson in which the most powerful tools will be used, where models can be built, validated and deployed using Python, learning a working model that will allow the development of intelligent applications and solutions, data analysis and predictive models.

Practical examples will be provided.

Data of the activity

Organizes:

Doctoral Program in Computer Science

Sponsors:

International Doctoral School of the University of Almeria

Teaches:

Dr. Antonio Jesús Fernández (University of Extremadura)

Date:

26, 27 and 28 May 2020 Schedule 9:30 to 13:00, days 26 and 27, and 9:30 to 12:30 on the 28th

Directed to:

It is especially aimed at PhD students in Computer Science, but it is open to any UAL PhD student or person interested in the subject.

Place:

University of Almeria The course will be given in the form of an online seminar/workshop using the Collaborate tool available in the Virtual Classroom (BlackBoard) of the University of Almeria. A few days before the event, the attendees previously registered in the event will receive a link to connect to the videoconference room.

No. of places:

25

Certificate:

Issued by the organizers of the event
Registration