Diploma in Machine Learning

DIPLOMA 100% On-line

Diploma in Machine Learning

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$426.00
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Duration

130 hours

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Credits

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Language

Spanish

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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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Diploma in Machine Learning issued by the Hemisferios University in collaboration with the European Institute of Business Studies (INESEM)

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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).

Diploma in Machine Learning

Información adicional del DIPLOMA

Diploma in Machine Learning

3 months de tutorización

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Course information

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Course information

Description

Machine learning has multiple applications in various fields, such as data analysis, computer vision, natural language processing, robotics or medicine. In this Diploma in Machine Learning, you will learn the concepts, techniques, tools and good practices to design, implement and evaluate machine learning models to solve real problems. You will learn to use different machine learning algorithms to perform data structure extraction tasks, recommendation systems, classification, neural networks, deep learning and election systems. You will also learn to use Python, Keras and TensorFlow as an environment for developing and executing machine learning models.

Job opportunities

The job opportunities for the Machine Learning diploma are very broad and varied, since machine learning is an essential activity in any field that requires the use or generation of information based on data. Some of the professional positions you can apply for are in the field of data analysis, data science or machine learning development.

What does it prepare you for?

The Machine Learning diploma prepares you to work with data from an intelligent and innovative perspective. At the end of the diploma, you will obtain a certificate that certifies your skills and abilities in machine learning and developing models with Python, Keras and TensorFlow. This will allow you to access different job opportunities in the data analysis and interpretation sector.

Who is it addressed to?

This Diploma in Machine Learning is aimed at all those people who want to start or delve deeper into the field of machine learning, whether for professional or personal reasons. No specific prior computer knowledge is required. The diploma is designed so that you can follow it at your own pace, with practical examples and exercises.

Objectives

- Understand the fundamentals and trends of machine learning. - Know and apply different machine learning algorithms to solve real problems. - Use Python, Keras and TensorFlow as a development environment for machine learning models. - Evaluate and improve the quality and performance of machine learning models. - Implement machine learning models in different domains and contexts. - Develop your own machine learning project. - Maintain some updating and continue learning about machine learning.

Diploma in Machine Learning

$426.00