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Débute 4 June 2026 01:30

Se termine 4 June 2026

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IBM Introduction to Machine Learning

Découvrez le pouvoir transformateur de l'apprentissage automatique avec la spécialisation "Introduction à l'apprentissage automatique d'IBM" proposée par Coursera. Alors que l'expertise en apprentissage automatique devient de plus en plus cruciale sur le marché du travail, ce programme complet de quatre cours se présente comme un outil essentiel po.
via Coursera  Specialization

106 Cours


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Aperçu

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.


Enseigné par

Mark J Grover and Miguel Maldonado


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