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- Machine Learning I
- The main goals of this course are: to introduce the basic concepts of Machine Learning and Big Data Machine Learning; to describe the main areas, techniques, ...
- Course guide
- Mandatory readings
- En este apartado encontraremos enlaces a ficheros (HTML, PDF, Word...) de materiales de lectura de la asignatura, listado bibliográfico o enlaces web a ...
- Exercises and projects
- This section contains assignments to be carried out for this course.
- Evaluation tests
- Selfassessment, exams, and solutions.
- Instructors
- Instructors information
- Syllabus
- Syllabus de la asignatura: Temas que forman parte de la asignatura.
- Lecture notes
- This section contains the slides used during the lectures, each one with some orientation of what is explained in class.
- Course introduction
- Video de presentación de la asignatura.
- Labs exercises
- This section includes lab exercises to be carried out by the student. It uses Jupyter notebooks that must be followed step by step.
- Related resources
- This section contains materials and links to additional material.
- Download this Course
