This three-module course introduces machine learning and data science for everyone with a foundational understanding of machine learning models. You’ll learn about the history of machine learning, applications of machine learning, the machine learning model lifecycle, and tools for machine learning. You’ll also learn about supervised versus unsupervised learning, classification, regression, evaluating machine learning models, and more. Our labs give you hands-on experience with these machine learning and data science concepts. You will develop concrete machine learning skills as well as create a final project demonstrating your proficiency.Lee mas.
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Las técnicas y herramientas cubiertas en Machine Learning Introduction for Everyone son muy similares a los requisitos que se encuentran en los anuncios de trabajo de Científico de datos.
