Machine Learning University Microcredential + 3 Credits Machine Learning University Microcredential + 3 Credits

Online Training

Machine Learning University Microcredential + 3 Credits

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135 hours

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3CR

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Spanish

Educational institutions

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Machine Learning University Microcredential + 3 Credits

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Details to take into account

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Multilingual support

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Digital certificate included

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Assistant Phia

Objectives

- Acquire basic knowledge of machine learning and its application in real problems. - Understand the operation and structure of artificial neural networks. - Identify the characteristics and types of the most common artificial neural networks. - Explore the theoretical foundations that support artificial neural networks. - Analyze the different learning mechanisms in neural networks. - Examine the various neural network topologies and their impact on performance. - Develop skills to correctly interpret the results of neural networks.

Content

Career opportunities

- Machine Learning engineer in technology companies - Data scientist applying RNA models - Specialist in artificial intelligence for startups - Consultant in data analysis with a focus on machine learning - Developer of pattern recognition systems - Analyst in market research firms using classification techniques - Expert in optimizing neural network topologies

What it prepares you for

This course prepares you to understand and apply key concepts in Machine Learning and artificial neural networks. You will learn to identify and classify different types of neural networks, understand their operation and characteristics, as well as the learning mechanisms that govern them. In addition, you will develop skills to build and train a neural network, interpreting the results obtained effectively, which will allow you to address complex problems in your professional field.

Addressed to

The Machine Learning Microcredential course is aimed at professionals and graduates in the technological and scientific field who want to deepen the introduction to artificial neural networks and their characteristics. Ideal for those interested in understanding learning mechanisms and in the construction and interpretation of results in neural networks.

Methodology

Our training is 100% online, which allows students to self-regulate their study and adapt it to their own needs. We are committed to personalized and autonomous teaching, with an approach based on critical thinking and constructivism.

We have a highly specialized teaching team that will accompany you throughout the entire teaching-learning process. This will allow you to personalize your training even more, since we adapt to your pace and needs.

You will have access to our learning platform, MyLXP, from any device and at any time of the day, allowing you to decide how and when to study. All of this is possible thanks to our Educa LXP (Learning Experience Platform) methodology, an environment designed to boost your educational progress, encourage innovation and offer a personalized learning experience adapted to each need.

Certificación

Machine Learning Microcredential Degree with 135 hours and 3 Credits issued by UNIMIAMI
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