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Inicio 4 June 2026 02:24

Fin 4 June 2026

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IBM Introduction to Machine Learning

Descubre el poder transformador del aprendizaje automático con la especialización "Introducción al Aprendizaje Automático de IBM" ofrecida por Coursera. A medida que la experiencia en aprendizaje automático se vuelve cada vez más crucial en la fuerza laboral, este programa comprensivo de cuatro cursos se presenta como una herramienta vital para ase.
via Coursera  Specialization

106 Cursos


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Resumen

Discover the transformative power of machine learning with the "IBM Introduction to Machine Learning" specialization offered by Coursera. As machine learning expertise becomes increasingly crucial in the workforce, this comprehensive four-course program stands as a vital tool in securing a competitive edge.

The reach and significance of machine learning have expanded tremendously, evidenced by a staggering 344% growth in job openings from 2015 to 2018 and an impressive average salary of $146,085 for Machine Learning Engineers.

This specialization is meticulously designed to furnish you with foundational skills necessary for careers in machine learning and data science. Upon completion, participants will understand how to deploy machine learning algorithms and AI to tackle various business challenges.

You will learn not only to distinguish when machine machine learning is appropriate for making predictions or explaining behaviors but also how to assess and enhance your models.

Graduates of this program will emerge with practical machine learning competencies, ready to apply in professional settings or enhance their job prospects, backed by a portfolio of project work. Moreover, successful completers will earn a certificate from Coursera and an IBM badge, underscoring their newly acquired skills to employers and professional networks.

All these skills pave the way to not only complete the two remaining courses in IBM's six-course Machine Learning Professional Certificate but also to potentially launch a new career in this dynamic field.

Categories include Artificial Intelligence, Machine Learning, Data Science, and Intro to Machine Learning Courses.


Impartido por

Mark J Grover and Miguel Maldonado


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