Machine Learning Course + 8 ECTS Credits

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Machine Learning Course + 8 ECTS Credits

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$308.00
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Duration

200 hours

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Credits

8 ECTS

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Language

Spanish

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Agenda

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Credit your success

At the end of the course, you will obtain the accredited qualification

This is not just about learning, but also about accrediting your knowledge with the most important institutions in the sector:

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Course Qualification in Machine Learning with 200 hours and 8 ECTS issued by UTAMED-Atlantic Mediterranean Technological University.

+20 years

boosting learning

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millions of students around the world

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Learn from the best in your sector

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carlos alvarez gonzález

Technical Engineer in Computer Science and teacher in ICT skills, with extensive experience in technical support, implementation of ERP systems and technological training.

Professional experience:

More than 15 years of experience in the technological field as a consultant, analyst-programmer and ICT trainer. Specialized in implementation and support of ERP systems (SAGE), training in digital skills and maintenance of computer systems. Recent experience as a teacher in ICT skills in training projects of the Junta de Andalucía, accumulating more than 600 hours of face-to-face training.

Professional skills:

ERP systems and technical support (SAGE), Training in ICT skills, Computer programming, analysis and maintenance, Quality management (UNE-EN-ISO 9001).

Technical Engineer in Computer Science and teacher in ICT skills, with extensive experience in technical support, implementation of ERP systems and technological training.

Professional experience:

More than 15 years of experience in the technological field as a consultant, analyst-programmer and ICT trainer. Specialized in implementation and support of ERP systems (SAGE), training in digital skills and maintenance of computer systems. Recent experience as a teacher in ICT skills in training projects of the Junta de Andalucía, accumulating more than 600 hours of face-to-face training.

Professional skills:

ERP systems and technical support (SAGE), Training in ICT skills, Computer programming, analysis and maintenance, Quality management (UNE-EN-ISO 9001).

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Machine Learning Course + 8 ECTS Credits

Información adicional del UNIVERSITY COURSE

Machine Learning Course + 8 ECTS Credits

6 months de tutorización

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Course information

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Course information

Description
In the information age, data analysis has become a fundamental strategic tool for organizations. The exponential growth in the amount of data generated has created a pressing need to extract valuable insights from these vast sets of information. In this context, machine learning, also known as machine learning, has emerged as a powerful and efficient approach for pattern discovery, decision making, and generating accurate predictions. Thanks to this Machine Learning Course you will be able to 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 matter.

Job opportunities

After completing this Machine Learning Course, you will be prepared to access various job opportunities 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 in different sectors, such as technology, finance, marketing and health.

What does it prepare you for?

This Machine Learning Course prepares you to use advanced machine learning techniques to extract knowledge from large volumes of data. You will learn to apply machine learning algorithms for classification, clustering and recommendation systems. In addition, you will acquire skills in neural networks and deep learning, which will allow you to tackle more complex analysis and prediction tasks.

Who is it addressed to?

This Machine Learning Course is designed for professionals and students interested in acquiring skills in the field of machine learning. It is also suitable for those who want to expand their knowledge in data mining and explore the potential of data analysis in different contexts. No prior programming knowledge is required.

Objectives

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

Machine Learning Course + 8 ECTS Credits

$308.00