In the the current digital age, the machine learning and the artificial intelligence are leading a technological revolution unprecedented. The course Machine Learning: The Application of AI to Machine Learning offers you a gateway to this exciting and ever-expanding world. With a focus on understanding the essence of the machine learning and the the transformative power of data, this course equips you with the tools required to stand out in a a booming sector and with high demand for labour. You will learn how to evaluate models y teaching machines to understand human language, essential skills for becoming a sought-after professional. By choosing this course, you’ll immerse yourself in a dynamic and accessible learning, designed to boost your ability to innovate and lead in the field of machine learning. Make the most of this opportunity to position yourself at the cutting-edge technology and ensure a a promising future.
Cross-cutting
AI Academy
35 hours
Machine Learning: The Application of AI to Machine Learning
AI Academy
35 hours
Introduction
Objectives
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Understand the basics of the machine learning and its importance in the AI.
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Identifying and managing relevant data for the machine learning.
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Evaluate models from machine learning using standard metrics.
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Apply natural language processing techniques in projects.
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Developing skills for select suitable models depending on the context.
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Analysing results derived from models for improve its accuracy.
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Integrating theoretical knowledge in the the practice of machine learning.
Table of Contents
TEACHING UNIT 1. DISCOVERING THE ESSENCE OF MACHINE LEARNING
TEACHING UNIT 2. THE POWER OF DATA: THE RAW MATERIAL OF AI
TEACHING UNIT 3. MEASURING INTELLIGENCE: THE THEORY OF MODEL EVALUATION
TEACHING UNIT 4. NATURAL LANGUAGE: TEACHING MACHINES TO UNDERSTAND
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